
(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 20 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (+ (+ (+ (- (sqrt (+ x 1.0)) (sqrt x)) (- (sqrt (+ y 1.0)) (sqrt y))) (- (sqrt (+ z 1.0)) (sqrt z))) (- (sqrt (+ t 1.0)) (sqrt t))))
double code(double x, double y, double z, double t) {
return (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t));
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (((sqrt((x + 1.0d0)) - sqrt(x)) + (sqrt((y + 1.0d0)) - sqrt(y))) + (sqrt((z + 1.0d0)) - sqrt(z))) + (sqrt((t + 1.0d0)) - sqrt(t))
end function
public static double code(double x, double y, double z, double t) {
return (((Math.sqrt((x + 1.0)) - Math.sqrt(x)) + (Math.sqrt((y + 1.0)) - Math.sqrt(y))) + (Math.sqrt((z + 1.0)) - Math.sqrt(z))) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
}
def code(x, y, z, t): return (((math.sqrt((x + 1.0)) - math.sqrt(x)) + (math.sqrt((y + 1.0)) - math.sqrt(y))) + (math.sqrt((z + 1.0)) - math.sqrt(z))) + (math.sqrt((t + 1.0)) - math.sqrt(t))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) + Float64(sqrt(Float64(y + 1.0)) - sqrt(y))) + Float64(sqrt(Float64(z + 1.0)) - sqrt(z))) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))) end
function tmp = code(x, y, z, t) tmp = (((sqrt((x + 1.0)) - sqrt(x)) + (sqrt((y + 1.0)) - sqrt(y))) + (sqrt((z + 1.0)) - sqrt(z))) + (sqrt((t + 1.0)) - sqrt(t)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(z + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(\left(\sqrt{x + 1} - \sqrt{x}\right) + \left(\sqrt{y + 1} - \sqrt{y}\right)\right) + \left(\sqrt{z + 1} - \sqrt{z}\right)\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)
\end{array}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ t 1.0))))
(if (<= t_1 2e-6)
(+
(- t_3 (sqrt t))
(+
(/ 1.0 (+ (sqrt y) t_2))
(fma (sqrt (/ 1.0 z)) 0.5 (/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0)))))))
(+
(/ (- (+ t 1.0) t) (+ (sqrt t) t_3))
(+ (- (- (+ (fma 0.5 x 1.0) t_2) (sqrt y)) (sqrt x)) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((t + 1.0));
double tmp;
if (t_1 <= 2e-6) {
tmp = (t_3 - sqrt(t)) + ((1.0 / (sqrt(y) + t_2)) + fma(sqrt((1.0 / z)), 0.5, (1.0 / (sqrt(x) + sqrt((x + 1.0))))));
} else {
tmp = (((t + 1.0) - t) / (sqrt(t) + t_3)) + ((((fma(0.5, x, 1.0) + t_2) - sqrt(y)) - sqrt(x)) + t_1);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(t + 1.0)) tmp = 0.0 if (t_1 <= 2e-6) tmp = Float64(Float64(t_3 - sqrt(t)) + Float64(Float64(1.0 / Float64(sqrt(y) + t_2)) + fma(sqrt(Float64(1.0 / z)), 0.5, Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0))))))); else tmp = Float64(Float64(Float64(Float64(t + 1.0) - t) / Float64(sqrt(t) + t_3)) + Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_2) - sqrt(y)) - sqrt(x)) + t_1)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[t$95$1, 2e-6], N[(N[(t$95$3 - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$2), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(t + 1.0), $MachinePrecision] - t), $MachinePrecision] / N[(N[Sqrt[t], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{1 + z} - \sqrt{z}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{t + 1}\\
\mathbf{if}\;t\_1 \leq 2 \cdot 10^{-6}:\\
\;\;\;\;\left(t\_3 - \sqrt{t}\right) + \left(\frac{1}{\sqrt{y} + t\_2} + \mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, \frac{1}{\sqrt{x} + \sqrt{x + 1}}\right)\right)\\
\mathbf{else}:\\
\;\;\;\;\frac{\left(t + 1\right) - t}{\sqrt{t} + t\_3} + \left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) < 1.99999999999999991e-6Initial program 82.7%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6483.1
Applied rewrites83.1%
Taylor expanded in y around 0
Applied rewrites87.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6488.9
lift-+.f64N/A
+-commutativeN/A
lower-+.f6488.9
Applied rewrites88.9%
Taylor expanded in z around inf
associate-+r+N/A
lower-+.f64N/A
*-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
Applied rewrites95.3%
if 1.99999999999999991e-6 < (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z)) Initial program 97.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6434.9
Applied rewrites34.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6434.9
Applied rewrites34.9%
Final simplification63.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (- t_1 (sqrt x)))
(t_7 (+ (+ (+ (- t_5 (sqrt y)) t_6) t_3) t_4)))
(if (<= t_7 1.0001)
(+ (- (fma (sqrt (/ 1.0 y)) 0.5 t_1) (sqrt x)) t_4)
(if (<= t_7 2.01)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_5) t_1) (+ (sqrt y) (sqrt x)))
(if (<= t_7 3.5)
(+ (+ (- t_6 (+ (sqrt y) (sqrt z))) t_2) t_5)
(+
(- (fma 0.5 t 1.0) (sqrt t))
(+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((y + 1.0));
double t_6 = t_1 - sqrt(x);
double t_7 = (((t_5 - sqrt(y)) + t_6) + t_3) + t_4;
double tmp;
if (t_7 <= 1.0001) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_1) - sqrt(x)) + t_4;
} else if (t_7 <= 2.01) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_5) + t_1) - (sqrt(y) + sqrt(x));
} else if (t_7 <= 3.5) {
tmp = ((t_6 - (sqrt(y) + sqrt(z))) + t_2) + t_5;
} else {
tmp = (fma(0.5, t, 1.0) - sqrt(t)) + (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_3);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(t_1 - sqrt(x)) t_7 = Float64(Float64(Float64(Float64(t_5 - sqrt(y)) + t_6) + t_3) + t_4) tmp = 0.0 if (t_7 <= 1.0001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_1) - sqrt(x)) + t_4); elseif (t_7 <= 2.01) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_5) + t_1) - Float64(sqrt(y) + sqrt(x))); elseif (t_7 <= 3.5) tmp = Float64(Float64(Float64(t_6 - Float64(sqrt(y) + sqrt(z))) + t_2) + t_5); else tmp = Float64(Float64(fma(0.5, t, 1.0) - sqrt(t)) + Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_3)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $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[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$7 = N[(N[(N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$6), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$7, 1.0001], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$7, 2.01], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$7, 3.5], N[(N[(N[(t$95$6 - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$5), $MachinePrecision], N[(N[(N[(0.5 * t + 1.0), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{y + 1}\\
t_6 := t\_1 - \sqrt{x}\\
t_7 := \left(\left(\left(t\_5 - \sqrt{y}\right) + t\_6\right) + t\_3\right) + t\_4\\
\mathbf{if}\;t\_7 \leq 1.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_1\right) - \sqrt{x}\right) + t\_4\\
\mathbf{elif}\;t\_7 \leq 2.01:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_5\right) + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_7 \leq 3.5:\\
\;\;\;\;\left(\left(t\_6 - \left(\sqrt{y} + \sqrt{z}\right)\right) + t\_2\right) + t\_5\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, 1\right) - \sqrt{t}\right) + \left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_3\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.00009999999999999Initial program 74.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6474.7
Applied rewrites74.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6446.3
Applied rewrites46.3%
Taylor expanded in y around inf
Applied rewrites43.4%
if 1.00009999999999999 < (+.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))) < 2.0099999999999998Initial program 96.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.5%
Taylor expanded in z around inf
Applied rewrites22.8%
if 2.0099999999999998 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 98.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites30.1%
Applied rewrites37.5%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 100.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Taylor expanded in y around inf
Applied rewrites20.3%
Taylor expanded in t around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6420.3
Applied rewrites20.3%
Taylor expanded in y around 0
Applied rewrites99.2%
Final simplification38.3%
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 (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- t_2 (sqrt z)))
(t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_5 (sqrt (+ y 1.0)))
(t_6 (+ (+ (+ (- t_5 (sqrt y)) (- t_1 (sqrt x))) t_3) t_4)))
(if (<= t_6 1.0001)
(+ (- (fma (sqrt (/ 1.0 y)) 0.5 t_1) (sqrt x)) t_4)
(if (<= t_6 2.01)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_5) t_1) (+ (sqrt y) (sqrt x)))
(if (<= t_6 3.5)
(- (+ (+ t_5 1.0) t_2) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))
(+
(- (fma 0.5 t 1.0) (sqrt t))
(+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_3)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = t_2 - sqrt(z);
double t_4 = sqrt((t + 1.0)) - sqrt(t);
double t_5 = sqrt((y + 1.0));
double t_6 = (((t_5 - sqrt(y)) + (t_1 - sqrt(x))) + t_3) + t_4;
double tmp;
if (t_6 <= 1.0001) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_1) - sqrt(x)) + t_4;
} else if (t_6 <= 2.01) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_5) + t_1) - (sqrt(y) + sqrt(x));
} else if (t_6 <= 3.5) {
tmp = ((t_5 + 1.0) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x));
} else {
tmp = (fma(0.5, t, 1.0) - sqrt(t)) + (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_3);
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(t_2 - sqrt(z)) t_4 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_5 = sqrt(Float64(y + 1.0)) t_6 = Float64(Float64(Float64(Float64(t_5 - sqrt(y)) + Float64(t_1 - sqrt(x))) + t_3) + t_4) tmp = 0.0 if (t_6 <= 1.0001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_1) - sqrt(x)) + t_4); elseif (t_6 <= 2.01) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_5) + t_1) - Float64(sqrt(y) + sqrt(x))); elseif (t_6 <= 3.5) tmp = Float64(Float64(Float64(t_5 + 1.0) + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))); else tmp = Float64(Float64(fma(0.5, t, 1.0) - sqrt(t)) + Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_3)); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $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[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$5 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision] + t$95$4), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0001], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision], If[LessEqual[t$95$6, 2.01], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$6, 3.5], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(0.5 * t + 1.0), $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision] + N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := t\_2 - \sqrt{z}\\
t_4 := \sqrt{t + 1} - \sqrt{t}\\
t_5 := \sqrt{y + 1}\\
t_6 := \left(\left(\left(t\_5 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right) + t\_3\right) + t\_4\\
\mathbf{if}\;t\_6 \leq 1.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_1\right) - \sqrt{x}\right) + t\_4\\
\mathbf{elif}\;t\_6 \leq 2.01:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_5\right) + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{elif}\;t\_6 \leq 3.5:\\
\;\;\;\;\left(\left(t\_5 + 1\right) + t\_2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\mathsf{fma}\left(0.5, t, 1\right) - \sqrt{t}\right) + \left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_3\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.00009999999999999Initial program 74.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6474.7
Applied rewrites74.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6446.3
Applied rewrites46.3%
Taylor expanded in y around inf
Applied rewrites43.4%
if 1.00009999999999999 < (+.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))) < 2.0099999999999998Initial program 96.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.5%
Taylor expanded in z around inf
Applied rewrites22.8%
if 2.0099999999999998 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 3.5Initial program 98.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites30.1%
Taylor expanded in x around 0
Applied rewrites27.7%
if 3.5 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 100.0%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6499.2
Applied rewrites99.2%
Taylor expanded in y around inf
Applied rewrites20.3%
Taylor expanded in t around 0
lower--.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f6420.3
Applied rewrites20.3%
Taylor expanded in y around 0
Applied rewrites99.2%
Final simplification35.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5
(+ (+ (+ (- t_4 (sqrt y)) (- t_1 (sqrt x))) (- t_2 (sqrt z))) t_3)))
(if (<= t_5 1.0001)
(+ (- (fma (sqrt (/ 1.0 y)) 0.5 t_1) (sqrt x)) t_3)
(if (<= t_5 2.01)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_1) (+ (sqrt y) (sqrt x)))
(- (+ (+ t_4 1.0) t_2) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = (((t_4 - sqrt(y)) + (t_1 - sqrt(x))) + (t_2 - sqrt(z))) + t_3;
double tmp;
if (t_5 <= 1.0001) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_1) - sqrt(x)) + t_3;
} else if (t_5 <= 2.01) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_4 + 1.0) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(Float64(Float64(Float64(t_4 - sqrt(y)) + Float64(t_1 - sqrt(x))) + Float64(t_2 - sqrt(z))) + t_3) tmp = 0.0 if (t_5 <= 1.0001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_1) - sqrt(x)) + t_3); elseif (t_5 <= 2.01) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_4 + 1.0) + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0001], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$1), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision], If[LessEqual[t$95$5, 2.01], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $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{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := \left(\left(\left(t\_4 - \sqrt{y}\right) + \left(t\_1 - \sqrt{x}\right)\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\mathbf{if}\;t\_5 \leq 1.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_1\right) - \sqrt{x}\right) + t\_3\\
\mathbf{elif}\;t\_5 \leq 2.01:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1.00009999999999999Initial program 74.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6474.7
Applied rewrites74.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6446.3
Applied rewrites46.3%
Taylor expanded in y around inf
Applied rewrites43.4%
if 1.00009999999999999 < (+.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))) < 2.0099999999999998Initial program 96.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.5%
Taylor expanded in z around inf
Applied rewrites22.8%
if 2.0099999999999998 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites28.4%
Taylor expanded in x around 0
Applied rewrites26.4%
Final simplification30.5%
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 (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (- t_1 (sqrt x)))
(t_6 (+ (+ (+ (- t_4 (sqrt y)) t_5) (- t_2 (sqrt z))) t_3)))
(if (<= t_6 1.0)
(+ t_5 t_3)
(if (<= t_6 2.01)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_4) t_1) (+ (sqrt y) (sqrt x)))
(- (+ (+ t_4 1.0) t_2) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = t_1 - sqrt(x);
double t_6 = (((t_4 - sqrt(y)) + t_5) + (t_2 - sqrt(z))) + t_3;
double tmp;
if (t_6 <= 1.0) {
tmp = t_5 + t_3;
} else if (t_6 <= 2.01) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_4) + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_4 + 1.0) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x));
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(t_1 - sqrt(x)) t_6 = Float64(Float64(Float64(Float64(t_4 - sqrt(y)) + t_5) + Float64(t_2 - sqrt(z))) + t_3) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(t_5 + t_3); elseif (t_6 <= 2.01) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_4) + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_4 + 1.0) + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + 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[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(t$95$5 + t$95$3), $MachinePrecision], If[LessEqual[t$95$6, 2.01], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $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{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := t\_1 - \sqrt{x}\\
t_6 := \left(\left(\left(t\_4 - \sqrt{y}\right) + t\_5\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;t\_5 + t\_3\\
\mathbf{elif}\;t\_6 \leq 2.01:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_4\right) + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\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))) < 1Initial program 74.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6474.7
Applied rewrites74.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6445.9
Applied rewrites45.9%
Taylor expanded in y around inf
Applied rewrites43.1%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2.0099999999999998Initial program 95.8%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.4%
Taylor expanded in z around inf
Applied rewrites23.2%
if 2.0099999999999998 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 99.0%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites28.4%
Taylor expanded in x around 0
Applied rewrites26.4%
Final simplification30.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (- t_1 (sqrt x)))
(t_6 (+ (+ (+ (- t_4 (sqrt y)) t_5) (- t_2 (sqrt z))) t_3)))
(if (<= t_6 1.0)
(+ t_5 t_3)
(if (<= t_6 2.0)
(- (+ t_4 t_1) (+ (sqrt y) (sqrt x)))
(- (+ (+ t_4 1.0) t_2) (+ (+ (sqrt y) (sqrt z)) (sqrt x)))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = t_1 - sqrt(x);
double t_6 = (((t_4 - sqrt(y)) + t_5) + (t_2 - sqrt(z))) + t_3;
double tmp;
if (t_6 <= 1.0) {
tmp = t_5 + t_3;
} else if (t_6 <= 2.0) {
tmp = (t_4 + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_4 + 1.0) + t_2) - ((sqrt(y) + sqrt(z)) + 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) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = sqrt((y + 1.0d0))
t_5 = t_1 - sqrt(x)
t_6 = (((t_4 - sqrt(y)) + t_5) + (t_2 - sqrt(z))) + t_3
if (t_6 <= 1.0d0) then
tmp = t_5 + t_3
else if (t_6 <= 2.0d0) then
tmp = (t_4 + t_1) - (sqrt(y) + sqrt(x))
else
tmp = ((t_4 + 1.0d0) + t_2) - ((sqrt(y) + sqrt(z)) + 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((x + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = Math.sqrt((y + 1.0));
double t_5 = t_1 - Math.sqrt(x);
double t_6 = (((t_4 - Math.sqrt(y)) + t_5) + (t_2 - Math.sqrt(z))) + t_3;
double tmp;
if (t_6 <= 1.0) {
tmp = t_5 + t_3;
} else if (t_6 <= 2.0) {
tmp = (t_4 + t_1) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((t_4 + 1.0) + t_2) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = math.sqrt((y + 1.0)) t_5 = t_1 - math.sqrt(x) t_6 = (((t_4 - math.sqrt(y)) + t_5) + (t_2 - math.sqrt(z))) + t_3 tmp = 0 if t_6 <= 1.0: tmp = t_5 + t_3 elif t_6 <= 2.0: tmp = (t_4 + t_1) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((t_4 + 1.0) + t_2) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(t_1 - sqrt(x)) t_6 = Float64(Float64(Float64(Float64(t_4 - sqrt(y)) + t_5) + Float64(t_2 - sqrt(z))) + t_3) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(t_5 + t_3); elseif (t_6 <= 2.0) tmp = Float64(Float64(t_4 + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_4 + 1.0) + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + 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((x + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = sqrt((y + 1.0));
t_5 = t_1 - sqrt(x);
t_6 = (((t_4 - sqrt(y)) + t_5) + (t_2 - sqrt(z))) + t_3;
tmp = 0.0;
if (t_6 <= 1.0)
tmp = t_5 + t_3;
elseif (t_6 <= 2.0)
tmp = (t_4 + t_1) - (sqrt(y) + sqrt(x));
else
tmp = ((t_4 + 1.0) + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(t$95$5 + t$95$3), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(N[(t$95$4 + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $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{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := t\_1 - \sqrt{x}\\
t_6 := \left(\left(\left(t\_4 - \sqrt{y}\right) + t\_5\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;t\_5 + t\_3\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;\left(t\_4 + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + 1\right) + t\_2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\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))) < 1Initial program 74.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6474.7
Applied rewrites74.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6445.9
Applied rewrites45.9%
Taylor expanded in y around inf
Applied rewrites43.1%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites22.5%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites29.3%
Taylor expanded in x around 0
Applied rewrites25.8%
Final simplification30.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ x 1.0)))
(t_2 (sqrt (+ 1.0 z)))
(t_3 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_4 (sqrt (+ y 1.0)))
(t_5 (- t_1 (sqrt x)))
(t_6 (+ (+ (+ (- t_4 (sqrt y)) t_5) (- t_2 (sqrt z))) t_3)))
(if (<= t_6 1.0)
(+ t_5 t_3)
(if (<= t_6 2.0)
(- (+ t_4 t_1) (+ (sqrt y) (sqrt x)))
(+ (- (+ t_4 t_2) (+ (+ (sqrt y) (sqrt z)) (sqrt x))) 1.0)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((x + 1.0));
double t_2 = sqrt((1.0 + z));
double t_3 = sqrt((t + 1.0)) - sqrt(t);
double t_4 = sqrt((y + 1.0));
double t_5 = t_1 - sqrt(x);
double t_6 = (((t_4 - sqrt(y)) + t_5) + (t_2 - sqrt(z))) + t_3;
double tmp;
if (t_6 <= 1.0) {
tmp = t_5 + t_3;
} else if (t_6 <= 2.0) {
tmp = (t_4 + t_1) - (sqrt(y) + sqrt(x));
} else {
tmp = ((t_4 + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: t_6
real(8) :: tmp
t_1 = sqrt((x + 1.0d0))
t_2 = sqrt((1.0d0 + z))
t_3 = sqrt((t + 1.0d0)) - sqrt(t)
t_4 = sqrt((y + 1.0d0))
t_5 = t_1 - sqrt(x)
t_6 = (((t_4 - sqrt(y)) + t_5) + (t_2 - sqrt(z))) + t_3
if (t_6 <= 1.0d0) then
tmp = t_5 + t_3
else if (t_6 <= 2.0d0) then
tmp = (t_4 + t_1) - (sqrt(y) + sqrt(x))
else
tmp = ((t_4 + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0d0
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((x + 1.0));
double t_2 = Math.sqrt((1.0 + z));
double t_3 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_4 = Math.sqrt((y + 1.0));
double t_5 = t_1 - Math.sqrt(x);
double t_6 = (((t_4 - Math.sqrt(y)) + t_5) + (t_2 - Math.sqrt(z))) + t_3;
double tmp;
if (t_6 <= 1.0) {
tmp = t_5 + t_3;
} else if (t_6 <= 2.0) {
tmp = (t_4 + t_1) - (Math.sqrt(y) + Math.sqrt(x));
} else {
tmp = ((t_4 + t_2) - ((Math.sqrt(y) + Math.sqrt(z)) + Math.sqrt(x))) + 1.0;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((x + 1.0)) t_2 = math.sqrt((1.0 + z)) t_3 = math.sqrt((t + 1.0)) - math.sqrt(t) t_4 = math.sqrt((y + 1.0)) t_5 = t_1 - math.sqrt(x) t_6 = (((t_4 - math.sqrt(y)) + t_5) + (t_2 - math.sqrt(z))) + t_3 tmp = 0 if t_6 <= 1.0: tmp = t_5 + t_3 elif t_6 <= 2.0: tmp = (t_4 + t_1) - (math.sqrt(y) + math.sqrt(x)) else: tmp = ((t_4 + t_2) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x))) + 1.0 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(x + 1.0)) t_2 = sqrt(Float64(1.0 + z)) t_3 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_4 = sqrt(Float64(y + 1.0)) t_5 = Float64(t_1 - sqrt(x)) t_6 = Float64(Float64(Float64(Float64(t_4 - sqrt(y)) + t_5) + Float64(t_2 - sqrt(z))) + t_3) tmp = 0.0 if (t_6 <= 1.0) tmp = Float64(t_5 + t_3); elseif (t_6 <= 2.0) tmp = Float64(Float64(t_4 + t_1) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(t_4 + t_2) - Float64(Float64(sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((x + 1.0));
t_2 = sqrt((1.0 + z));
t_3 = sqrt((t + 1.0)) - sqrt(t);
t_4 = sqrt((y + 1.0));
t_5 = t_1 - sqrt(x);
t_6 = (((t_4 - sqrt(y)) + t_5) + (t_2 - sqrt(z))) + t_3;
tmp = 0.0;
if (t_6 <= 1.0)
tmp = t_5 + t_3;
elseif (t_6 <= 2.0)
tmp = (t_4 + t_1) - (sqrt(y) + sqrt(x));
else
tmp = ((t_4 + t_2) - ((sqrt(y) + sqrt(z)) + sqrt(x))) + 1.0;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$4 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$5 = N[(t$95$1 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$6 = N[(N[(N[(N[(t$95$4 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision] + N[(t$95$2 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$6, 1.0], N[(t$95$5 + t$95$3), $MachinePrecision], If[LessEqual[t$95$6, 2.0], N[(N[(t$95$4 + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(t$95$4 + t$95$2), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $MachinePrecision]), $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{x + 1}\\
t_2 := \sqrt{1 + z}\\
t_3 := \sqrt{t + 1} - \sqrt{t}\\
t_4 := \sqrt{y + 1}\\
t_5 := t\_1 - \sqrt{x}\\
t_6 := \left(\left(\left(t\_4 - \sqrt{y}\right) + t\_5\right) + \left(t\_2 - \sqrt{z}\right)\right) + t\_3\\
\mathbf{if}\;t\_6 \leq 1:\\
\;\;\;\;t\_5 + t\_3\\
\mathbf{elif}\;t\_6 \leq 2:\\
\;\;\;\;\left(t\_4 + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_4 + t\_2\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\right)\right) + 1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 1Initial program 74.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6474.7
Applied rewrites74.7%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6445.9
Applied rewrites45.9%
Taylor expanded in y around inf
Applied rewrites43.1%
if 1 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) < 2Initial program 97.2%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites4.0%
Taylor expanded in z around inf
Applied rewrites22.5%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites29.3%
Taylor expanded in z around inf
Applied rewrites2.0%
Taylor expanded in x around 0
Applied rewrites30.9%
Final simplification31.9%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_5 (+ (+ (- t_3 (sqrt y)) t_4) t_2))
(t_6 (+ (sqrt y) t_3)))
(if (<= t_5 1e-5)
(+ (fma (sqrt (/ 1.0 x)) 0.5 (/ 1.0 t_6)) t_1)
(if (<= t_5 2.0)
(+ (fma -1.0 (/ -1.0 t_6) t_4) t_1)
(+
(+
(+
(fma (fma (fma 0.0625 y -0.125) y 0.5) y (- 1.0 (sqrt y)))
(- 1.0 (sqrt x)))
t_2)
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((x + 1.0)) - sqrt(x);
double t_5 = ((t_3 - sqrt(y)) + t_4) + t_2;
double t_6 = sqrt(y) + t_3;
double tmp;
if (t_5 <= 1e-5) {
tmp = fma(sqrt((1.0 / x)), 0.5, (1.0 / t_6)) + t_1;
} else if (t_5 <= 2.0) {
tmp = fma(-1.0, (-1.0 / t_6), t_4) + t_1;
} else {
tmp = ((fma(fma(fma(0.0625, y, -0.125), y, 0.5), y, (1.0 - sqrt(y))) + (1.0 - sqrt(x))) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_5 = Float64(Float64(Float64(t_3 - sqrt(y)) + t_4) + t_2) t_6 = Float64(sqrt(y) + t_3) tmp = 0.0 if (t_5 <= 1e-5) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, Float64(1.0 / t_6)) + t_1); elseif (t_5 <= 2.0) tmp = Float64(fma(-1.0, Float64(-1.0 / t_6), t_4) + t_1); else tmp = Float64(Float64(Float64(fma(fma(fma(0.0625, y, -0.125), y, 0.5), y, Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(x))) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$5, 1e-5], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / t$95$6), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 2.0], N[(N[(-1.0 * N[(-1.0 / t$95$6), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(N[(0.0625 * y + -0.125), $MachinePrecision] * y + 0.5), $MachinePrecision] * y + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{x + 1} - \sqrt{x}\\
t_5 := \left(\left(t\_3 - \sqrt{y}\right) + t\_4\right) + t\_2\\
t_6 := \sqrt{y} + t\_3\\
\mathbf{if}\;t\_5 \leq 10^{-5}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, \frac{1}{t\_6}\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 2:\\
\;\;\;\;\mathsf{fma}\left(-1, \frac{-1}{t\_6}, t\_4\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.0625, y, -0.125\right), y, 0.5\right), y, 1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000008e-5Initial program 42.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6443.9
Applied rewrites43.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6440.9
Applied rewrites40.9%
Taylor expanded in x around inf
Applied rewrites78.0%
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))) < 2Initial program 97.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.3
Applied rewrites97.3%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6444.9
Applied rewrites44.9%
Applied rewrites55.3%
if 2 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 97.5%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6497.5
Applied rewrites97.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6487.4
Applied rewrites87.4%
Final simplification63.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (- (sqrt (+ x 1.0)) (sqrt x)))
(t_5 (+ (+ (- t_3 (sqrt y)) t_4) t_2))
(t_6 (+ (sqrt y) t_3)))
(if (<= t_5 1e-5)
(+ (fma (sqrt (/ 1.0 x)) 0.5 (/ 1.0 t_6)) t_1)
(if (<= t_5 1.9998)
(+ (fma -1.0 (/ -1.0 t_6) t_4) t_1)
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_2) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = sqrt((x + 1.0)) - sqrt(x);
double t_5 = ((t_3 - sqrt(y)) + t_4) + t_2;
double t_6 = sqrt(y) + t_3;
double tmp;
if (t_5 <= 1e-5) {
tmp = fma(sqrt((1.0 / x)), 0.5, (1.0 / t_6)) + t_1;
} else if (t_5 <= 1.9998) {
tmp = fma(-1.0, (-1.0 / t_6), t_4) + t_1;
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(sqrt(Float64(x + 1.0)) - sqrt(x)) t_5 = Float64(Float64(Float64(t_3 - sqrt(y)) + t_4) + t_2) t_6 = Float64(sqrt(y) + t_3) tmp = 0.0 if (t_5 <= 1e-5) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, Float64(1.0 / t_6)) + t_1); elseif (t_5 <= 1.9998) tmp = Float64(fma(-1.0, Float64(-1.0 / t_6), t_4) + t_1); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$6 = N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]}, If[LessEqual[t$95$5, 1e-5], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + N[(1.0 / t$95$6), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$5, 1.9998], N[(N[(-1.0 * N[(-1.0 / t$95$6), $MachinePrecision] + t$95$4), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \sqrt{x + 1} - \sqrt{x}\\
t_5 := \left(\left(t\_3 - \sqrt{y}\right) + t\_4\right) + t\_2\\
t_6 := \sqrt{y} + t\_3\\
\mathbf{if}\;t\_5 \leq 10^{-5}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, \frac{1}{t\_6}\right) + t\_1\\
\mathbf{elif}\;t\_5 \leq 1.9998:\\
\;\;\;\;\mathsf{fma}\left(-1, \frac{-1}{t\_6}, t\_4\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00000000000000008e-5Initial program 42.5%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6443.9
Applied rewrites43.9%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6440.9
Applied rewrites40.9%
Taylor expanded in x around inf
Applied rewrites78.0%
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))) < 1.9998Initial program 95.8%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.1
Applied rewrites96.1%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6444.7
Applied rewrites44.7%
Applied rewrites64.3%
if 1.9998 < (+.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 98.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6457.6
Applied rewrites57.6%
Taylor expanded in y around 0
Applied rewrites51.7%
Final simplification59.4%
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 (+ t 1.0)) (sqrt t)))
(t_2 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (+ (- t_3 (sqrt y)) (- (sqrt (+ x 1.0)) (sqrt x))) t_2))
(t_5 (/ 1.0 (+ (sqrt y) t_3))))
(if (<= t_4 0.05)
(+ (fma (sqrt (/ 1.0 x)) 0.5 t_5) t_1)
(if (<= t_4 1.9998)
(+ (- (+ t_5 1.0) (sqrt x)) t_1)
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_2) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((1.0 + z)) - sqrt(z);
double t_3 = sqrt((y + 1.0));
double t_4 = ((t_3 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x))) + t_2;
double t_5 = 1.0 / (sqrt(y) + t_3);
double tmp;
if (t_4 <= 0.05) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_5) + t_1;
} else if (t_4 <= 1.9998) {
tmp = ((t_5 + 1.0) - sqrt(x)) + t_1;
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = Float64(sqrt(Float64(1.0 + z)) - sqrt(z)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) + t_2) t_5 = Float64(1.0 / Float64(sqrt(y) + t_3)) tmp = 0.0 if (t_4 <= 0.05) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, t_5) + t_1); elseif (t_4 <= 1.9998) tmp = Float64(Float64(Float64(t_5 + 1.0) - sqrt(x)) + t_1); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_2) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]}, Block[{t$95$5 = N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 0.05], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$4, 1.9998], N[(N[(N[(t$95$5 + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{1 + z} - \sqrt{z}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(\left(t\_3 - \sqrt{y}\right) + \left(\sqrt{x + 1} - \sqrt{x}\right)\right) + t\_2\\
t_5 := \frac{1}{\sqrt{y} + t\_3}\\
\mathbf{if}\;t\_4 \leq 0.05:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_5\right) + t\_1\\
\mathbf{elif}\;t\_4 \leq 1.9998:\\
\;\;\;\;\left(\left(t\_5 + 1\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_2\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 0.050000000000000003Initial program 43.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6444.5
Applied rewrites44.5%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6441.0
Applied rewrites41.0%
Taylor expanded in x around inf
Applied rewrites78.6%
if 0.050000000000000003 < (+.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))) < 1.9998Initial program 96.1%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6496.5
Applied rewrites96.5%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6444.7
Applied rewrites44.7%
Taylor expanded in x around 0
Applied rewrites35.6%
if 1.9998 < (+.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 98.1%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6457.6
Applied rewrites57.6%
Taylor expanded in y around 0
Applied rewrites51.7%
Final simplification49.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ 1.0 z)) (sqrt z)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (+ (+ (- t_2 (sqrt y)) (- t_3 (sqrt x))) t_1))
(t_5 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= t_4 1.0001)
(+ (- (fma (sqrt (/ 1.0 y)) 0.5 t_3) (sqrt x)) t_5)
(if (<= t_4 2.01)
(- (+ (fma (sqrt (/ 1.0 z)) 0.5 t_2) t_3) (+ (sqrt y) (sqrt x)))
(+ (+ (- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x)) t_1) t_5)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((1.0 + z)) - sqrt(z);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = ((t_2 - sqrt(y)) + (t_3 - sqrt(x))) + t_1;
double t_5 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (t_4 <= 1.0001) {
tmp = (fma(sqrt((1.0 / y)), 0.5, t_3) - sqrt(x)) + t_5;
} else if (t_4 <= 2.01) {
tmp = (fma(sqrt((1.0 / z)), 0.5, t_2) + t_3) - (sqrt(y) + sqrt(x));
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_5;
}
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(y + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(Float64(Float64(t_2 - sqrt(y)) + Float64(t_3 - sqrt(x))) + t_1) t_5 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (t_4 <= 1.0001) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / y)), 0.5, t_3) - sqrt(x)) + t_5); elseif (t_4 <= 2.01) tmp = Float64(Float64(fma(sqrt(Float64(1.0 / z)), 0.5, t_2) + t_3) - Float64(sqrt(y) + sqrt(x))); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + t_1) + t_5); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]}, Block[{t$95$5 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1.0001], N[(N[(N[(N[Sqrt[N[(1.0 / y), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$3), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$5), $MachinePrecision], If[LessEqual[t$95$4, 2.01], N[(N[(N[(N[Sqrt[N[(1.0 / z), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$2), $MachinePrecision] + t$95$3), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] + t$95$5), $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{y + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := \left(\left(t\_2 - \sqrt{y}\right) + \left(t\_3 - \sqrt{x}\right)\right) + t\_1\\
t_5 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;t\_4 \leq 1.0001:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{y}}, 0.5, t\_3\right) - \sqrt{x}\right) + t\_5\\
\mathbf{elif}\;t\_4 \leq 2.01:\\
\;\;\;\;\left(\mathsf{fma}\left(\sqrt{\frac{1}{z}}, 0.5, t\_2\right) + t\_3\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + t\_1\right) + t\_5\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1.00009999999999999Initial program 80.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6481.6
Applied rewrites81.6%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6443.7
Applied rewrites43.7%
Taylor expanded in y around inf
Applied rewrites41.0%
if 1.00009999999999999 < (+.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))) < 2.0099999999999998Initial program 97.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.5%
Taylor expanded in z around inf
Applied rewrites22.9%
if 2.0099999999999998 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.4%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6495.0
Applied rewrites95.0%
Taylor expanded in y around 0
Applied rewrites95.0%
Final simplification41.4%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ (sqrt y) (sqrt x)))
(t_2 (sqrt (+ y 1.0)))
(t_3 (sqrt (+ x 1.0)))
(t_4 (- t_3 (sqrt x)))
(t_5 (+ (+ (- t_2 (sqrt y)) t_4) (- (sqrt (+ 1.0 z)) (sqrt z)))))
(if (<= t_5 1.0)
(+ t_4 (- (sqrt (+ t 1.0)) (sqrt t)))
(if (<= t_5 2.5) (- (+ t_2 t_3) t_1) (- (+ (+ t_3 1.0) t_2) t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt(y) + sqrt(x);
double t_2 = sqrt((y + 1.0));
double t_3 = sqrt((x + 1.0));
double t_4 = t_3 - sqrt(x);
double t_5 = ((t_2 - sqrt(y)) + t_4) + (sqrt((1.0 + z)) - sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_4 + (sqrt((t + 1.0)) - sqrt(t));
} else if (t_5 <= 2.5) {
tmp = (t_2 + t_3) - t_1;
} else {
tmp = ((t_3 + 1.0) + t_2) - t_1;
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: t_5
real(8) :: tmp
t_1 = sqrt(y) + sqrt(x)
t_2 = sqrt((y + 1.0d0))
t_3 = sqrt((x + 1.0d0))
t_4 = t_3 - sqrt(x)
t_5 = ((t_2 - sqrt(y)) + t_4) + (sqrt((1.0d0 + z)) - sqrt(z))
if (t_5 <= 1.0d0) then
tmp = t_4 + (sqrt((t + 1.0d0)) - sqrt(t))
else if (t_5 <= 2.5d0) then
tmp = (t_2 + t_3) - t_1
else
tmp = ((t_3 + 1.0d0) + t_2) - t_1
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt(y) + Math.sqrt(x);
double t_2 = Math.sqrt((y + 1.0));
double t_3 = Math.sqrt((x + 1.0));
double t_4 = t_3 - Math.sqrt(x);
double t_5 = ((t_2 - Math.sqrt(y)) + t_4) + (Math.sqrt((1.0 + z)) - Math.sqrt(z));
double tmp;
if (t_5 <= 1.0) {
tmp = t_4 + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
} else if (t_5 <= 2.5) {
tmp = (t_2 + t_3) - t_1;
} else {
tmp = ((t_3 + 1.0) + t_2) - t_1;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt(y) + math.sqrt(x) t_2 = math.sqrt((y + 1.0)) t_3 = math.sqrt((x + 1.0)) t_4 = t_3 - math.sqrt(x) t_5 = ((t_2 - math.sqrt(y)) + t_4) + (math.sqrt((1.0 + z)) - math.sqrt(z)) tmp = 0 if t_5 <= 1.0: tmp = t_4 + (math.sqrt((t + 1.0)) - math.sqrt(t)) elif t_5 <= 2.5: tmp = (t_2 + t_3) - t_1 else: tmp = ((t_3 + 1.0) + t_2) - t_1 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(y) + sqrt(x)) t_2 = sqrt(Float64(y + 1.0)) t_3 = sqrt(Float64(x + 1.0)) t_4 = Float64(t_3 - sqrt(x)) t_5 = Float64(Float64(Float64(t_2 - sqrt(y)) + t_4) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) tmp = 0.0 if (t_5 <= 1.0) tmp = Float64(t_4 + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); elseif (t_5 <= 2.5) tmp = Float64(Float64(t_2 + t_3) - t_1); else tmp = Float64(Float64(Float64(t_3 + 1.0) + t_2) - t_1); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt(y) + sqrt(x);
t_2 = sqrt((y + 1.0));
t_3 = sqrt((x + 1.0));
t_4 = t_3 - sqrt(x);
t_5 = ((t_2 - sqrt(y)) + t_4) + (sqrt((1.0 + z)) - sqrt(z));
tmp = 0.0;
if (t_5 <= 1.0)
tmp = t_4 + (sqrt((t + 1.0)) - sqrt(t));
elseif (t_5 <= 2.5)
tmp = (t_2 + t_3) - t_1;
else
tmp = ((t_3 + 1.0) + t_2) - t_1;
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(t$95$3 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(N[(N[(t$95$2 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + t$95$4), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$5, 1.0], N[(t$95$4 + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[t$95$5, 2.5], N[(N[(t$95$2 + t$95$3), $MachinePrecision] - t$95$1), $MachinePrecision], N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision] - t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y} + \sqrt{x}\\
t_2 := \sqrt{y + 1}\\
t_3 := \sqrt{x + 1}\\
t_4 := t\_3 - \sqrt{x}\\
t_5 := \left(\left(t\_2 - \sqrt{y}\right) + t\_4\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\\
\mathbf{if}\;t\_5 \leq 1:\\
\;\;\;\;t\_4 + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{elif}\;t\_5 \leq 2.5:\\
\;\;\;\;\left(t\_2 + t\_3\right) - t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + 1\right) + t\_2\right) - t\_1\\
\end{array}
\end{array}
if (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 1Initial program 81.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6481.6
Applied rewrites81.6%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6443.6
Applied rewrites43.6%
Taylor expanded in y around inf
Applied rewrites41.7%
if 1 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) < 2.5Initial program 96.7%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites6.5%
Taylor expanded in z around inf
Applied rewrites22.3%
if 2.5 < (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) Initial program 99.4%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites63.9%
Taylor expanded in z around inf
Applied rewrites2.1%
Taylor expanded in y around inf
Applied rewrites3.9%
Taylor expanded in z around 0
Applied rewrites59.9%
Final simplification36.0%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_2 (sqrt (+ x 1.0)))
(t_3 (sqrt (+ y 1.0)))
(t_4 (+ (- t_3 (sqrt y)) (- t_2 (sqrt x))))
(t_5 (/ 1.0 (+ (sqrt y) t_3))))
(if (<= t_4 1e-5)
(+ (fma (sqrt (/ 1.0 x)) 0.5 t_5) t_1)
(if (<= t_4 1.9998)
(+ (- (+ t_5 t_2) (sqrt x)) t_1)
(+
(+
(- (- (fma 0.5 x 2.0) (sqrt y)) (sqrt x))
(- (sqrt (+ 1.0 z)) (sqrt z)))
t_1)))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double t_2 = sqrt((x + 1.0));
double t_3 = sqrt((y + 1.0));
double t_4 = (t_3 - sqrt(y)) + (t_2 - sqrt(x));
double t_5 = 1.0 / (sqrt(y) + t_3);
double tmp;
if (t_4 <= 1e-5) {
tmp = fma(sqrt((1.0 / x)), 0.5, t_5) + t_1;
} else if (t_4 <= 1.9998) {
tmp = ((t_5 + t_2) - sqrt(x)) + t_1;
} else {
tmp = (((fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + (sqrt((1.0 + z)) - sqrt(z))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_2 = sqrt(Float64(x + 1.0)) t_3 = sqrt(Float64(y + 1.0)) t_4 = Float64(Float64(t_3 - sqrt(y)) + Float64(t_2 - sqrt(x))) t_5 = Float64(1.0 / Float64(sqrt(y) + t_3)) tmp = 0.0 if (t_4 <= 1e-5) tmp = Float64(fma(sqrt(Float64(1.0 / x)), 0.5, t_5) + t_1); elseif (t_4 <= 1.9998) tmp = Float64(Float64(Float64(t_5 + t_2) - sqrt(x)) + t_1); else tmp = Float64(Float64(Float64(Float64(fma(0.5, x, 2.0) - sqrt(y)) - sqrt(x)) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$4 = N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$5 = N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[t$95$4, 1e-5], N[(N[(N[Sqrt[N[(1.0 / x), $MachinePrecision]], $MachinePrecision] * 0.5 + t$95$5), $MachinePrecision] + t$95$1), $MachinePrecision], If[LessEqual[t$95$4, 1.9998], N[(N[(N[(t$95$5 + t$95$2), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(N[(N[(0.5 * x + 2.0), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]]]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
t_2 := \sqrt{x + 1}\\
t_3 := \sqrt{y + 1}\\
t_4 := \left(t\_3 - \sqrt{y}\right) + \left(t\_2 - \sqrt{x}\right)\\
t_5 := \frac{1}{\sqrt{y} + t\_3}\\
\mathbf{if}\;t\_4 \leq 10^{-5}:\\
\;\;\;\;\mathsf{fma}\left(\sqrt{\frac{1}{x}}, 0.5, t\_5\right) + t\_1\\
\mathbf{elif}\;t\_4 \leq 1.9998:\\
\;\;\;\;\left(\left(t\_5 + t\_2\right) - \sqrt{x}\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\left(\left(\mathsf{fma}\left(0.5, x, 2\right) - \sqrt{y}\right) - \sqrt{x}\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + t\_1\\
\end{array}
\end{array}
if (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) < 1.00000000000000008e-5Initial program 67.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6468.5
Applied rewrites68.5%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6426.2
Applied rewrites26.2%
Taylor expanded in x around inf
Applied rewrites46.6%
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))) < 1.9998Initial program 97.3%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6497.3
Applied rewrites97.3%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6437.9
Applied rewrites37.9%
if 1.9998 < (+.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 98.5%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6498.5
Applied rewrites98.5%
Taylor expanded in y around 0
Applied rewrites97.7%
Final simplification55.6%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ 1.0 z)))
(t_2 (- (sqrt (+ t 1.0)) (sqrt t)))
(t_3 (sqrt (+ y 1.0))))
(if (<=
(+
(+
(+ (- t_3 (sqrt y)) (- (sqrt (+ x 1.0)) (sqrt x)))
(- t_1 (sqrt z)))
t_2)
2.0)
(+ (- (+ (/ 1.0 (+ (sqrt y) t_3)) 1.0) (sqrt x)) t_2)
(- (+ (+ t_3 1.0) t_1) (+ (+ (sqrt y) (sqrt z)) (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));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double t_3 = sqrt((y + 1.0));
double tmp;
if (((((t_3 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x))) + (t_1 - sqrt(z))) + t_2) <= 2.0) {
tmp = (((1.0 / (sqrt(y) + t_3)) + 1.0) - sqrt(x)) + t_2;
} else {
tmp = ((t_3 + 1.0) + t_1) - ((sqrt(y) + sqrt(z)) + 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))
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
t_3 = sqrt((y + 1.0d0))
if (((((t_3 - sqrt(y)) + (sqrt((x + 1.0d0)) - sqrt(x))) + (t_1 - sqrt(z))) + t_2) <= 2.0d0) then
tmp = (((1.0d0 / (sqrt(y) + t_3)) + 1.0d0) - sqrt(x)) + t_2
else
tmp = ((t_3 + 1.0d0) + t_1) - ((sqrt(y) + sqrt(z)) + 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));
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double t_3 = Math.sqrt((y + 1.0));
double tmp;
if (((((t_3 - Math.sqrt(y)) + (Math.sqrt((x + 1.0)) - Math.sqrt(x))) + (t_1 - Math.sqrt(z))) + t_2) <= 2.0) {
tmp = (((1.0 / (Math.sqrt(y) + t_3)) + 1.0) - Math.sqrt(x)) + t_2;
} else {
tmp = ((t_3 + 1.0) + t_1) - ((Math.sqrt(y) + Math.sqrt(z)) + 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)) t_2 = math.sqrt((t + 1.0)) - math.sqrt(t) t_3 = math.sqrt((y + 1.0)) tmp = 0 if ((((t_3 - math.sqrt(y)) + (math.sqrt((x + 1.0)) - math.sqrt(x))) + (t_1 - math.sqrt(z))) + t_2) <= 2.0: tmp = (((1.0 / (math.sqrt(y) + t_3)) + 1.0) - math.sqrt(x)) + t_2 else: tmp = ((t_3 + 1.0) + t_1) - ((math.sqrt(y) + math.sqrt(z)) + math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(1.0 + z)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) t_3 = sqrt(Float64(y + 1.0)) tmp = 0.0 if (Float64(Float64(Float64(Float64(t_3 - sqrt(y)) + Float64(sqrt(Float64(x + 1.0)) - sqrt(x))) + Float64(t_1 - sqrt(z))) + t_2) <= 2.0) tmp = Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_3)) + 1.0) - sqrt(x)) + t_2); else tmp = Float64(Float64(Float64(t_3 + 1.0) + t_1) - Float64(Float64(sqrt(y) + sqrt(z)) + 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));
t_2 = sqrt((t + 1.0)) - sqrt(t);
t_3 = sqrt((y + 1.0));
tmp = 0.0;
if (((((t_3 - sqrt(y)) + (sqrt((x + 1.0)) - sqrt(x))) + (t_1 - sqrt(z))) + t_2) <= 2.0)
tmp = (((1.0 / (sqrt(y) + t_3)) + 1.0) - sqrt(x)) + t_2;
else
tmp = ((t_3 + 1.0) + t_1) - ((sqrt(y) + sqrt(z)) + sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(N[(N[(N[(t$95$3 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(t$95$1 - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], 2.0], N[(N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$3), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(t$95$3 + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[z], $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 + z}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
t_3 := \sqrt{y + 1}\\
\mathbf{if}\;\left(\left(\left(t\_3 - \sqrt{y}\right) + \left(\sqrt{x + 1} - \sqrt{x}\right)\right) + \left(t\_1 - \sqrt{z}\right)\right) + t\_2 \leq 2:\\
\;\;\;\;\left(\left(\frac{1}{\sqrt{y} + t\_3} + 1\right) - \sqrt{x}\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\left(t\_3 + 1\right) + t\_1\right) - \left(\left(\sqrt{y} + \sqrt{z}\right) + \sqrt{x}\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))) < 2Initial program 86.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6486.3
Applied rewrites86.3%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6443.5
Applied rewrites43.5%
Taylor expanded in x around 0
Applied rewrites30.4%
if 2 < (+.f64 (+.f64 (+.f64 (-.f64 (sqrt.f64 (+.f64 x #s(literal 1 binary64))) (sqrt.f64 x)) (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y))) (-.f64 (sqrt.f64 (+.f64 z #s(literal 1 binary64))) (sqrt.f64 z))) (-.f64 (sqrt.f64 (+.f64 t #s(literal 1 binary64))) (sqrt.f64 t))) Initial program 97.6%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites29.3%
Taylor expanded in x around 0
Applied rewrites25.8%
Final simplification28.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))) (t_2 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= z 1.15e+29)
(+
(+
(- (+ (/ 1.0 (+ (sqrt z) (sqrt (+ 1.0 z)))) t_1) (+ (sqrt y) (sqrt x)))
1.0)
t_2)
(+
(+ (/ 1.0 (+ (sqrt y) t_1)) (/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0)))))
t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (z <= 1.15e+29) {
tmp = ((((1.0 / (sqrt(z) + sqrt((1.0 + z)))) + t_1) - (sqrt(y) + sqrt(x))) + 1.0) + t_2;
} else {
tmp = ((1.0 / (sqrt(y) + t_1)) + (1.0 / (sqrt(x) + sqrt((x + 1.0))))) + 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) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((t + 1.0d0)) - sqrt(t)
if (z <= 1.15d+29) then
tmp = ((((1.0d0 / (sqrt(z) + sqrt((1.0d0 + z)))) + t_1) - (sqrt(y) + sqrt(x))) + 1.0d0) + t_2
else
tmp = ((1.0d0 / (sqrt(y) + t_1)) + (1.0d0 / (sqrt(x) + sqrt((x + 1.0d0))))) + 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((y + 1.0));
double t_2 = Math.sqrt((t + 1.0)) - Math.sqrt(t);
double tmp;
if (z <= 1.15e+29) {
tmp = ((((1.0 / (Math.sqrt(z) + Math.sqrt((1.0 + z)))) + t_1) - (Math.sqrt(y) + Math.sqrt(x))) + 1.0) + t_2;
} else {
tmp = ((1.0 / (Math.sqrt(y) + t_1)) + (1.0 / (Math.sqrt(x) + Math.sqrt((x + 1.0))))) + t_2;
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((t + 1.0)) - math.sqrt(t) tmp = 0 if z <= 1.15e+29: tmp = ((((1.0 / (math.sqrt(z) + math.sqrt((1.0 + z)))) + t_1) - (math.sqrt(y) + math.sqrt(x))) + 1.0) + t_2 else: tmp = ((1.0 / (math.sqrt(y) + t_1)) + (1.0 / (math.sqrt(x) + math.sqrt((x + 1.0))))) + t_2 return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (z <= 1.15e+29) tmp = Float64(Float64(Float64(Float64(Float64(1.0 / Float64(sqrt(z) + sqrt(Float64(1.0 + z)))) + t_1) - Float64(sqrt(y) + sqrt(x))) + 1.0) + t_2); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0))))) + 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((y + 1.0));
t_2 = sqrt((t + 1.0)) - sqrt(t);
tmp = 0.0;
if (z <= 1.15e+29)
tmp = ((((1.0 / (sqrt(z) + sqrt((1.0 + z)))) + t_1) - (sqrt(y) + sqrt(x))) + 1.0) + t_2;
else
tmp = ((1.0 / (sqrt(y) + t_1)) + (1.0 / (sqrt(x) + sqrt((x + 1.0))))) + 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[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 1.15e+29], N[(N[(N[(N[(N[(1.0 / N[(N[Sqrt[z], $MachinePrecision] + N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;z \leq 1.15 \cdot 10^{+29}:\\
\;\;\;\;\left(\left(\left(\frac{1}{\sqrt{z} + \sqrt{1 + z}} + t\_1\right) - \left(\sqrt{y} + \sqrt{x}\right)\right) + 1\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{y} + t\_1} + \frac{1}{\sqrt{x} + \sqrt{x + 1}}\right) + t\_2\\
\end{array}
\end{array}
if z < 1.1500000000000001e29Initial program 96.4%
lift--.f64N/A
flip--N/A
clear-numN/A
lower-/.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f6496.9
Applied rewrites96.9%
Taylor expanded in x around 0
associate--l+N/A
lower-+.f64N/A
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
Applied rewrites38.0%
if 1.1500000000000001e29 < z Initial program 83.0%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6483.4
Applied rewrites83.4%
Taylor expanded in y around 0
Applied rewrites88.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6489.3
lift-+.f64N/A
+-commutativeN/A
lower-+.f6489.3
Applied rewrites89.3%
Taylor expanded in z around inf
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6493.5
Applied rewrites93.5%
Final simplification63.2%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))) (t_2 (- (sqrt (+ t 1.0)) (sqrt t))))
(if (<= z 4.5e+20)
(+
(+
(- (- (+ (fma 0.5 x 1.0) t_1) (sqrt y)) (sqrt x))
(- (sqrt (+ 1.0 z)) (sqrt z)))
t_2)
(+
(+ (/ 1.0 (+ (sqrt y) t_1)) (/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0)))))
t_2))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (z <= 4.5e+20) {
tmp = ((((fma(0.5, x, 1.0) + t_1) - sqrt(y)) - sqrt(x)) + (sqrt((1.0 + z)) - sqrt(z))) + t_2;
} else {
tmp = ((1.0 / (sqrt(y) + t_1)) + (1.0 / (sqrt(x) + sqrt((x + 1.0))))) + t_2;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (z <= 4.5e+20) tmp = Float64(Float64(Float64(Float64(Float64(fma(0.5, x, 1.0) + t_1) - sqrt(y)) - sqrt(x)) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + t_2); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(y) + t_1)) + Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0))))) + t_2); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 4.5e+20], N[(N[(N[(N[(N[(N[(0.5 * x + 1.0), $MachinePrecision] + t$95$1), $MachinePrecision] - N[Sqrt[y], $MachinePrecision]), $MachinePrecision] - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + t$95$1), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$2), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;z \leq 4.5 \cdot 10^{+20}:\\
\;\;\;\;\left(\left(\left(\left(\mathsf{fma}\left(0.5, x, 1\right) + t\_1\right) - \sqrt{y}\right) - \sqrt{x}\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + t\_2\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{y} + t\_1} + \frac{1}{\sqrt{x} + \sqrt{x + 1}}\right) + t\_2\\
\end{array}
\end{array}
if z < 4.5e20Initial program 96.7%
Taylor expanded in x around 0
+-commutativeN/A
associate--r+N/A
lower--.f64N/A
lower--.f64N/A
+-commutativeN/A
associate-+r+N/A
lower-+.f64N/A
+-commutativeN/A
lower-fma.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f6435.0
Applied rewrites35.0%
if 4.5e20 < z Initial program 82.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6483.3
Applied rewrites83.3%
Taylor expanded in y around 0
Applied rewrites88.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6489.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6489.2
Applied rewrites89.2%
Taylor expanded in z around inf
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6493.2
Applied rewrites93.2%
Final simplification61.8%
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 (+ t 1.0)) (sqrt t))))
(if (<= z 3.6e+15)
(+
(+
(+
(fma (fma (fma 0.0625 y -0.125) y 0.5) y (- 1.0 (sqrt y)))
(- 1.0 (sqrt x)))
(- (sqrt (+ 1.0 z)) (sqrt z)))
t_1)
(+
(+
(/ 1.0 (+ (sqrt y) (sqrt (+ y 1.0))))
(/ 1.0 (+ (sqrt x) (sqrt (+ x 1.0)))))
t_1))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((t + 1.0)) - sqrt(t);
double tmp;
if (z <= 3.6e+15) {
tmp = ((fma(fma(fma(0.0625, y, -0.125), y, 0.5), y, (1.0 - sqrt(y))) + (1.0 - sqrt(x))) + (sqrt((1.0 + z)) - sqrt(z))) + t_1;
} else {
tmp = ((1.0 / (sqrt(y) + sqrt((y + 1.0)))) + (1.0 / (sqrt(x) + sqrt((x + 1.0))))) + t_1;
}
return tmp;
}
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = Float64(sqrt(Float64(t + 1.0)) - sqrt(t)) tmp = 0.0 if (z <= 3.6e+15) tmp = Float64(Float64(Float64(fma(fma(fma(0.0625, y, -0.125), y, 0.5), y, Float64(1.0 - sqrt(y))) + Float64(1.0 - sqrt(x))) + Float64(sqrt(Float64(1.0 + z)) - sqrt(z))) + t_1); else tmp = Float64(Float64(Float64(1.0 / Float64(sqrt(y) + sqrt(Float64(y + 1.0)))) + Float64(1.0 / Float64(sqrt(x) + sqrt(Float64(x + 1.0))))) + t_1); end return tmp end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]}, If[LessEqual[z, 3.6e+15], N[(N[(N[(N[(N[(N[(0.0625 * y + -0.125), $MachinePrecision] * y + 0.5), $MachinePrecision] * y + N[(1.0 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(1.0 + z), $MachinePrecision]], $MachinePrecision] - N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision], N[(N[(N[(1.0 / N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + N[(1.0 / N[(N[Sqrt[x], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + t$95$1), $MachinePrecision]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{t + 1} - \sqrt{t}\\
\mathbf{if}\;z \leq 3.6 \cdot 10^{+15}:\\
\;\;\;\;\left(\left(\mathsf{fma}\left(\mathsf{fma}\left(\mathsf{fma}\left(0.0625, y, -0.125\right), y, 0.5\right), y, 1 - \sqrt{y}\right) + \left(1 - \sqrt{x}\right)\right) + \left(\sqrt{1 + z} - \sqrt{z}\right)\right) + t\_1\\
\mathbf{else}:\\
\;\;\;\;\left(\frac{1}{\sqrt{y} + \sqrt{y + 1}} + \frac{1}{\sqrt{x} + \sqrt{x + 1}}\right) + t\_1\\
\end{array}
\end{array}
if z < 3.6e15Initial program 96.7%
Taylor expanded in y around 0
+-commutativeN/A
associate--l+N/A
*-commutativeN/A
lower-fma.f64N/A
+-commutativeN/A
*-commutativeN/A
lower-fma.f64N/A
sub-negN/A
metadata-evalN/A
lower-fma.f64N/A
lower--.f64N/A
lower-sqrt.f6449.5
Applied rewrites49.5%
Taylor expanded in x around 0
lower--.f64N/A
lower-sqrt.f6427.4
Applied rewrites27.4%
if 3.6e15 < z Initial program 82.9%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6483.3
Applied rewrites83.3%
Taylor expanded in y around 0
Applied rewrites88.2%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
lift-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f6489.2
lift-+.f64N/A
+-commutativeN/A
lower-+.f6489.2
Applied rewrites89.2%
Taylor expanded in z around inf
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-/.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6493.2
Applied rewrites93.2%
Final simplification57.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (+ y 1.0))) (t_2 (sqrt (+ x 1.0))))
(if (<= (- t_1 (sqrt y)) 0.0)
(+ (- t_2 (sqrt x)) (- (sqrt (+ t 1.0)) (sqrt t)))
(- (+ t_1 t_2) (+ (sqrt y) (sqrt x))))))assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
double t_1 = sqrt((y + 1.0));
double t_2 = sqrt((x + 1.0));
double tmp;
if ((t_1 - sqrt(y)) <= 0.0) {
tmp = (t_2 - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
} else {
tmp = (t_1 + t_2) - (sqrt(y) + sqrt(x));
}
return tmp;
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_1 = sqrt((y + 1.0d0))
t_2 = sqrt((x + 1.0d0))
if ((t_1 - sqrt(y)) <= 0.0d0) then
tmp = (t_2 - sqrt(x)) + (sqrt((t + 1.0d0)) - sqrt(t))
else
tmp = (t_1 + t_2) - (sqrt(y) + sqrt(x))
end if
code = tmp
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((y + 1.0));
double t_2 = Math.sqrt((x + 1.0));
double tmp;
if ((t_1 - Math.sqrt(y)) <= 0.0) {
tmp = (t_2 - Math.sqrt(x)) + (Math.sqrt((t + 1.0)) - Math.sqrt(t));
} else {
tmp = (t_1 + t_2) - (Math.sqrt(y) + Math.sqrt(x));
}
return tmp;
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): t_1 = math.sqrt((y + 1.0)) t_2 = math.sqrt((x + 1.0)) tmp = 0 if (t_1 - math.sqrt(y)) <= 0.0: tmp = (t_2 - math.sqrt(x)) + (math.sqrt((t + 1.0)) - math.sqrt(t)) else: tmp = (t_1 + t_2) - (math.sqrt(y) + math.sqrt(x)) return tmp
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) t_1 = sqrt(Float64(y + 1.0)) t_2 = sqrt(Float64(x + 1.0)) tmp = 0.0 if (Float64(t_1 - sqrt(y)) <= 0.0) tmp = Float64(Float64(t_2 - sqrt(x)) + Float64(sqrt(Float64(t + 1.0)) - sqrt(t))); else tmp = Float64(Float64(t_1 + t_2) - Float64(sqrt(y) + sqrt(x))); end return tmp end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp_2 = code(x, y, z, t)
t_1 = sqrt((y + 1.0));
t_2 = sqrt((x + 1.0));
tmp = 0.0;
if ((t_1 - sqrt(y)) <= 0.0)
tmp = (t_2 - sqrt(x)) + (sqrt((t + 1.0)) - sqrt(t));
else
tmp = (t_1 + t_2) - (sqrt(y) + sqrt(x));
end
tmp_2 = tmp;
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]}, If[LessEqual[N[(t$95$1 - N[Sqrt[y], $MachinePrecision]), $MachinePrecision], 0.0], N[(N[(t$95$2 - N[Sqrt[x], $MachinePrecision]), $MachinePrecision] + N[(N[Sqrt[N[(t + 1.0), $MachinePrecision]], $MachinePrecision] - N[Sqrt[t], $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[(t$95$1 + t$95$2), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\begin{array}{l}
t_1 := \sqrt{y + 1}\\
t_2 := \sqrt{x + 1}\\
\mathbf{if}\;t\_1 - \sqrt{y} \leq 0:\\
\;\;\;\;\left(t\_2 - \sqrt{x}\right) + \left(\sqrt{t + 1} - \sqrt{t}\right)\\
\mathbf{else}:\\
\;\;\;\;\left(t\_1 + t\_2\right) - \left(\sqrt{y} + \sqrt{x}\right)\\
\end{array}
\end{array}
if (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) < 0.0Initial program 83.4%
lift--.f64N/A
flip--N/A
lower-/.f64N/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lift-sqrt.f64N/A
lift-sqrt.f64N/A
rem-square-sqrtN/A
lower--.f64N/A
+-commutativeN/A
lower-+.f6483.4
Applied rewrites83.4%
Taylor expanded in z around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-/.f64N/A
lower-+.f64N/A
lower-sqrt.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f6440.3
Applied rewrites40.3%
Taylor expanded in y around inf
Applied rewrites40.2%
if 0.0 < (-.f64 (sqrt.f64 (+.f64 y #s(literal 1 binary64))) (sqrt.f64 y)) Initial program 97.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites22.5%
Taylor expanded in z around inf
Applied rewrites25.7%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (+ (sqrt (+ y 1.0)) (sqrt (+ x 1.0))) (+ (sqrt y) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return (sqrt((y + 1.0)) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = (sqrt((y + 1.0d0)) + sqrt((x + 1.0d0))) - (sqrt(y) + sqrt(x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return (Math.sqrt((y + 1.0)) + Math.sqrt((x + 1.0))) - (Math.sqrt(y) + Math.sqrt(x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return (math.sqrt((y + 1.0)) + math.sqrt((x + 1.0))) - (math.sqrt(y) + math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(Float64(sqrt(Float64(y + 1.0)) + sqrt(Float64(x + 1.0))) - Float64(sqrt(y) + sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = (sqrt((y + 1.0)) + sqrt((x + 1.0))) - (sqrt(y) + sqrt(x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[(N[Sqrt[N[(y + 1.0), $MachinePrecision]], $MachinePrecision] + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\left(\sqrt{y + 1} + \sqrt{x + 1}\right) - \left(\sqrt{y} + \sqrt{x}\right)
\end{array}
Initial program 90.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites13.5%
Taylor expanded in z around inf
Applied rewrites14.9%
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. (FPCore (x y z t) :precision binary64 (- (sqrt z) (+ (sqrt y) (sqrt x))))
assert(x < y && y < z && z < t);
double code(double x, double y, double z, double t) {
return sqrt(z) - (sqrt(y) + sqrt(x));
}
NOTE: x, y, z, and t should be sorted in increasing order before calling this function.
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
code = sqrt(z) - (sqrt(y) + sqrt(x))
end function
assert x < y && y < z && z < t;
public static double code(double x, double y, double z, double t) {
return Math.sqrt(z) - (Math.sqrt(y) + Math.sqrt(x));
}
[x, y, z, t] = sort([x, y, z, t]) def code(x, y, z, t): return math.sqrt(z) - (math.sqrt(y) + math.sqrt(x))
x, y, z, t = sort([x, y, z, t]) function code(x, y, z, t) return Float64(sqrt(z) - Float64(sqrt(y) + sqrt(x))) end
x, y, z, t = num2cell(sort([x, y, z, t])){:}
function tmp = code(x, y, z, t)
tmp = sqrt(z) - (sqrt(y) + sqrt(x));
end
NOTE: x, y, z, and t should be sorted in increasing order before calling this function. code[x_, y_, z_, t_] := N[(N[Sqrt[z], $MachinePrecision] - N[(N[Sqrt[y], $MachinePrecision] + N[Sqrt[x], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
[x, y, z, t] = \mathsf{sort}([x, y, z, t])\\
\\
\sqrt{z} - \left(\sqrt{y} + \sqrt{x}\right)
\end{array}
Initial program 90.3%
Taylor expanded in t around inf
lower--.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
lower-sqrt.f64N/A
+-commutativeN/A
lower-+.f64N/A
+-commutativeN/A
lower-+.f64N/A
Applied rewrites13.5%
Taylor expanded in z around inf
Applied rewrites1.9%
Taylor expanded in y around inf
Applied rewrites3.1%
(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 2024277
(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))))