
(FPCore (x y z t) :precision binary64 (* (* (- (* x 0.5) y) (sqrt (* z 2.0))) (exp (/ (* t t) 2.0))))
double code(double x, double y, double z, double t) {
return (((x * 0.5) - y) * sqrt((z * 2.0))) * exp(((t * t) / 2.0));
}
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 = (((x * 0.5d0) - y) * sqrt((z * 2.0d0))) * exp(((t * t) / 2.0d0))
end function
public static double code(double x, double y, double z, double t) {
return (((x * 0.5) - y) * Math.sqrt((z * 2.0))) * Math.exp(((t * t) / 2.0));
}
def code(x, y, z, t): return (((x * 0.5) - y) * math.sqrt((z * 2.0))) * math.exp(((t * t) / 2.0))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(x * 0.5) - y) * sqrt(Float64(z * 2.0))) * exp(Float64(Float64(t * t) / 2.0))) end
function tmp = code(x, y, z, t) tmp = (((x * 0.5) - y) * sqrt((z * 2.0))) * exp(((t * t) / 2.0)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(t * t), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot 2}\right) \cdot e^{\frac{t \cdot t}{2}}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 18 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x y z t) :precision binary64 (* (* (- (* x 0.5) y) (sqrt (* z 2.0))) (exp (/ (* t t) 2.0))))
double code(double x, double y, double z, double t) {
return (((x * 0.5) - y) * sqrt((z * 2.0))) * exp(((t * t) / 2.0));
}
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 = (((x * 0.5d0) - y) * sqrt((z * 2.0d0))) * exp(((t * t) / 2.0d0))
end function
public static double code(double x, double y, double z, double t) {
return (((x * 0.5) - y) * Math.sqrt((z * 2.0))) * Math.exp(((t * t) / 2.0));
}
def code(x, y, z, t): return (((x * 0.5) - y) * math.sqrt((z * 2.0))) * math.exp(((t * t) / 2.0))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(x * 0.5) - y) * sqrt(Float64(z * 2.0))) * exp(Float64(Float64(t * t) / 2.0))) end
function tmp = code(x, y, z, t) tmp = (((x * 0.5) - y) * sqrt((z * 2.0))) * exp(((t * t) / 2.0)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Exp[N[(N[(t * t), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot 2}\right) \cdot e^{\frac{t \cdot t}{2}}
\end{array}
(FPCore (x y z t) :precision binary64 (* (- (* x 0.5) y) (sqrt (* z (* 2.0 (exp (* t t)))))))
double code(double x, double y, double z, double t) {
return ((x * 0.5) - y) * sqrt((z * (2.0 * exp((t * 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 = ((x * 0.5d0) - y) * sqrt((z * (2.0d0 * exp((t * t)))))
end function
public static double code(double x, double y, double z, double t) {
return ((x * 0.5) - y) * Math.sqrt((z * (2.0 * Math.exp((t * t)))));
}
def code(x, y, z, t): return ((x * 0.5) - y) * math.sqrt((z * (2.0 * math.exp((t * t)))))
function code(x, y, z, t) return Float64(Float64(Float64(x * 0.5) - y) * sqrt(Float64(z * Float64(2.0 * exp(Float64(t * t)))))) end
function tmp = code(x, y, z, t) tmp = ((x * 0.5) - y) * sqrt((z * (2.0 * exp((t * t))))); end
code[x_, y_, z_, t_] := N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[Sqrt[N[(z * N[(2.0 * N[Exp[N[(t * t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot \left(2 \cdot e^{t \cdot t}\right)}
\end{array}
Initial program 98.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f6499.8%
Applied egg-rr99.8%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (* z 2.0)))
(t_2
(* t (+ 0.5 (* t (* t (+ 0.125 (* t (* t 0.020833333333333332))))))))
(t_3 (- (* x 0.5) y)))
(if (<= (* t t) 2.0)
(/ (* (* t_3 t_1) (- 1.0 (* (* t t) (* t_2 t_2)))) (- 1.0 (* t t_2)))
(if (<= (* t t) 1e+76)
(* (sqrt (* z (* 2.0 (exp (* t t))))) (- 0.0 y))
(*
t_1
(*
t_3
(+
1.0
(*
(* t t)
(+
0.5
(* (* t t) (+ 0.125 (* (* t t) 0.020833333333333332))))))))))))
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z * 2.0));
double t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332))))));
double t_3 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 2.0) {
tmp = ((t_3 * t_1) * (1.0 - ((t * t) * (t_2 * t_2)))) / (1.0 - (t * t_2));
} else if ((t * t) <= 1e+76) {
tmp = sqrt((z * (2.0 * exp((t * t))))) * (0.0 - y);
} else {
tmp = t_1 * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
return tmp;
}
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((z * 2.0d0))
t_2 = t * (0.5d0 + (t * (t * (0.125d0 + (t * (t * 0.020833333333333332d0))))))
t_3 = (x * 0.5d0) - y
if ((t * t) <= 2.0d0) then
tmp = ((t_3 * t_1) * (1.0d0 - ((t * t) * (t_2 * t_2)))) / (1.0d0 - (t * t_2))
else if ((t * t) <= 1d+76) then
tmp = sqrt((z * (2.0d0 * exp((t * t))))) * (0.0d0 - y)
else
tmp = t_1 * (t_3 * (1.0d0 + ((t * t) * (0.5d0 + ((t * t) * (0.125d0 + ((t * t) * 0.020833333333333332d0)))))))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z * 2.0));
double t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332))))));
double t_3 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 2.0) {
tmp = ((t_3 * t_1) * (1.0 - ((t * t) * (t_2 * t_2)))) / (1.0 - (t * t_2));
} else if ((t * t) <= 1e+76) {
tmp = Math.sqrt((z * (2.0 * Math.exp((t * t))))) * (0.0 - y);
} else {
tmp = t_1 * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
return tmp;
}
def code(x, y, z, t): t_1 = math.sqrt((z * 2.0)) t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332)))))) t_3 = (x * 0.5) - y tmp = 0 if (t * t) <= 2.0: tmp = ((t_3 * t_1) * (1.0 - ((t * t) * (t_2 * t_2)))) / (1.0 - (t * t_2)) elif (t * t) <= 1e+76: tmp = math.sqrt((z * (2.0 * math.exp((t * t))))) * (0.0 - y) else: tmp = t_1 * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))) return tmp
function code(x, y, z, t) t_1 = sqrt(Float64(z * 2.0)) t_2 = Float64(t * Float64(0.5 + Float64(t * Float64(t * Float64(0.125 + Float64(t * Float64(t * 0.020833333333333332))))))) t_3 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 2.0) tmp = Float64(Float64(Float64(t_3 * t_1) * Float64(1.0 - Float64(Float64(t * t) * Float64(t_2 * t_2)))) / Float64(1.0 - Float64(t * t_2))); elseif (Float64(t * t) <= 1e+76) tmp = Float64(sqrt(Float64(z * Float64(2.0 * exp(Float64(t * t))))) * Float64(0.0 - y)); else tmp = Float64(t_1 * Float64(t_3 * Float64(1.0 + Float64(Float64(t * t) * Float64(0.5 + Float64(Float64(t * t) * Float64(0.125 + Float64(Float64(t * t) * 0.020833333333333332)))))))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = sqrt((z * 2.0)); t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332)))))); t_3 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 2.0) tmp = ((t_3 * t_1) * (1.0 - ((t * t) * (t_2 * t_2)))) / (1.0 - (t * t_2)); elseif ((t * t) <= 1e+76) tmp = sqrt((z * (2.0 * exp((t * t))))) * (0.0 - y); else tmp = t_1 * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t * N[(0.5 + N[(t * N[(t * N[(0.125 + N[(t * N[(t * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 2.0], N[(N[(N[(t$95$3 * t$95$1), $MachinePrecision] * N[(1.0 - N[(N[(t * t), $MachinePrecision] * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(t * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[N[(t * t), $MachinePrecision], 1e+76], N[(N[Sqrt[N[(z * N[(2.0 * N[Exp[N[(t * t), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(0.0 - y), $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[(t$95$3 * N[(1.0 + N[(N[(t * t), $MachinePrecision] * N[(0.5 + N[(N[(t * t), $MachinePrecision] * N[(0.125 + N[(N[(t * t), $MachinePrecision] * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sqrt{z \cdot 2}\\
t_2 := t \cdot \left(0.5 + t \cdot \left(t \cdot \left(0.125 + t \cdot \left(t \cdot 0.020833333333333332\right)\right)\right)\right)\\
t_3 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 2:\\
\;\;\;\;\frac{\left(t\_3 \cdot t\_1\right) \cdot \left(1 - \left(t \cdot t\right) \cdot \left(t\_2 \cdot t\_2\right)\right)}{1 - t \cdot t\_2}\\
\mathbf{elif}\;t \cdot t \leq 10^{+76}:\\
\;\;\;\;\sqrt{z \cdot \left(2 \cdot e^{t \cdot t}\right)} \cdot \left(0 - y\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \left(t\_3 \cdot \left(1 + \left(t \cdot t\right) \cdot \left(0.5 + \left(t \cdot t\right) \cdot \left(0.125 + \left(t \cdot t\right) \cdot 0.020833333333333332\right)\right)\right)\right)\\
\end{array}
\end{array}
if (*.f64 t t) < 2Initial program 99.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.7%
Simplified99.7%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.2%
Simplified99.2%
associate-*r*N/A
flip-+N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr99.2%
if 2 < (*.f64 t t) < 1e76Initial program 95.2%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.9%
Simplified99.9%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0
mul-1-negN/A
neg-sub0N/A
--lowering--.f6485.7%
Simplified85.7%
if 1e76 < (*.f64 t t) Initial program 97.9%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Final simplification98.4%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (* z 2.0)))
(t_2
(* t (+ 0.5 (* t (* t (+ 0.125 (* t (* t 0.020833333333333332))))))))
(t_3 (* t t_2))
(t_4 (- (* x 0.5) y)))
(if (<= (* t t) 1e+52)
(/
(* (* t_4 t_1) (+ 1.0 (* (* (* t t) (* t_2 t_2)) t_3)))
(+ 1.0 (* t_3 (+ t_3 -1.0))))
(*
t_1
(*
t_4
(+
1.0
(*
(* t t)
(+ 0.5 (* (* t t) (+ 0.125 (* (* t t) 0.020833333333333332)))))))))))
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z * 2.0));
double t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332))))));
double t_3 = t * t_2;
double t_4 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 1e+52) {
tmp = ((t_4 * t_1) * (1.0 + (((t * t) * (t_2 * t_2)) * t_3))) / (1.0 + (t_3 * (t_3 + -1.0)));
} else {
tmp = t_1 * (t_4 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
return tmp;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
real(8) :: t_4
real(8) :: tmp
t_1 = sqrt((z * 2.0d0))
t_2 = t * (0.5d0 + (t * (t * (0.125d0 + (t * (t * 0.020833333333333332d0))))))
t_3 = t * t_2
t_4 = (x * 0.5d0) - y
if ((t * t) <= 1d+52) then
tmp = ((t_4 * t_1) * (1.0d0 + (((t * t) * (t_2 * t_2)) * t_3))) / (1.0d0 + (t_3 * (t_3 + (-1.0d0))))
else
tmp = t_1 * (t_4 * (1.0d0 + ((t * t) * (0.5d0 + ((t * t) * (0.125d0 + ((t * t) * 0.020833333333333332d0)))))))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z * 2.0));
double t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332))))));
double t_3 = t * t_2;
double t_4 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 1e+52) {
tmp = ((t_4 * t_1) * (1.0 + (((t * t) * (t_2 * t_2)) * t_3))) / (1.0 + (t_3 * (t_3 + -1.0)));
} else {
tmp = t_1 * (t_4 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
return tmp;
}
def code(x, y, z, t): t_1 = math.sqrt((z * 2.0)) t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332)))))) t_3 = t * t_2 t_4 = (x * 0.5) - y tmp = 0 if (t * t) <= 1e+52: tmp = ((t_4 * t_1) * (1.0 + (((t * t) * (t_2 * t_2)) * t_3))) / (1.0 + (t_3 * (t_3 + -1.0))) else: tmp = t_1 * (t_4 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))) return tmp
function code(x, y, z, t) t_1 = sqrt(Float64(z * 2.0)) t_2 = Float64(t * Float64(0.5 + Float64(t * Float64(t * Float64(0.125 + Float64(t * Float64(t * 0.020833333333333332))))))) t_3 = Float64(t * t_2) t_4 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 1e+52) tmp = Float64(Float64(Float64(t_4 * t_1) * Float64(1.0 + Float64(Float64(Float64(t * t) * Float64(t_2 * t_2)) * t_3))) / Float64(1.0 + Float64(t_3 * Float64(t_3 + -1.0)))); else tmp = Float64(t_1 * Float64(t_4 * Float64(1.0 + Float64(Float64(t * t) * Float64(0.5 + Float64(Float64(t * t) * Float64(0.125 + Float64(Float64(t * t) * 0.020833333333333332)))))))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = sqrt((z * 2.0)); t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332)))))); t_3 = t * t_2; t_4 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 1e+52) tmp = ((t_4 * t_1) * (1.0 + (((t * t) * (t_2 * t_2)) * t_3))) / (1.0 + (t_3 * (t_3 + -1.0))); else tmp = t_1 * (t_4 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t * N[(0.5 + N[(t * N[(t * N[(0.125 + N[(t * N[(t * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(t * t$95$2), $MachinePrecision]}, Block[{t$95$4 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 1e+52], N[(N[(N[(t$95$4 * t$95$1), $MachinePrecision] * N[(1.0 + N[(N[(N[(t * t), $MachinePrecision] * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision] * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$3 * N[(t$95$3 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[(t$95$4 * N[(1.0 + N[(N[(t * t), $MachinePrecision] * N[(0.5 + N[(N[(t * t), $MachinePrecision] * N[(0.125 + N[(N[(t * t), $MachinePrecision] * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sqrt{z \cdot 2}\\
t_2 := t \cdot \left(0.5 + t \cdot \left(t \cdot \left(0.125 + t \cdot \left(t \cdot 0.020833333333333332\right)\right)\right)\right)\\
t_3 := t \cdot t\_2\\
t_4 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 10^{+52}:\\
\;\;\;\;\frac{\left(t\_4 \cdot t\_1\right) \cdot \left(1 + \left(\left(t \cdot t\right) \cdot \left(t\_2 \cdot t\_2\right)\right) \cdot t\_3\right)}{1 + t\_3 \cdot \left(t\_3 + -1\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \left(t\_4 \cdot \left(1 + \left(t \cdot t\right) \cdot \left(0.5 + \left(t \cdot t\right) \cdot \left(0.125 + \left(t \cdot t\right) \cdot 0.020833333333333332\right)\right)\right)\right)\\
\end{array}
\end{array}
if (*.f64 t t) < 9.9999999999999999e51Initial program 99.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.7%
Simplified99.7%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6490.7%
Simplified90.7%
Applied egg-rr95.6%
if 9.9999999999999999e51 < (*.f64 t t) Initial program 97.1%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6498.1%
Simplified98.1%
Final simplification96.6%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (+ 0.5 (* t (* t 0.125))))
(t_2 (* (* t t) t_1))
(t_3 (- (* x 0.5) y)))
(if (<= (* t t) 5e+58)
(/
(*
(+ 1.0 (* (* (* t t) (* (* t t) (* t t))) (* t_1 (* t_1 t_1))))
(* t_3 (pow (* z 2.0) 0.5)))
(+ 1.0 (* t_2 (+ t_2 -1.0))))
(*
(sqrt (* z 2.0))
(*
t_3
(+
1.0
(*
(* t t)
(+ 0.5 (* (* t t) (+ 0.125 (* (* t t) 0.020833333333333332)))))))))))
double code(double x, double y, double z, double t) {
double t_1 = 0.5 + (t * (t * 0.125));
double t_2 = (t * t) * t_1;
double t_3 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 5e+58) {
tmp = ((1.0 + (((t * t) * ((t * t) * (t * t))) * (t_1 * (t_1 * t_1)))) * (t_3 * pow((z * 2.0), 0.5))) / (1.0 + (t_2 * (t_2 + -1.0)));
} else {
tmp = sqrt((z * 2.0)) * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
return tmp;
}
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 = 0.5d0 + (t * (t * 0.125d0))
t_2 = (t * t) * t_1
t_3 = (x * 0.5d0) - y
if ((t * t) <= 5d+58) then
tmp = ((1.0d0 + (((t * t) * ((t * t) * (t * t))) * (t_1 * (t_1 * t_1)))) * (t_3 * ((z * 2.0d0) ** 0.5d0))) / (1.0d0 + (t_2 * (t_2 + (-1.0d0))))
else
tmp = sqrt((z * 2.0d0)) * (t_3 * (1.0d0 + ((t * t) * (0.5d0 + ((t * t) * (0.125d0 + ((t * t) * 0.020833333333333332d0)))))))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = 0.5 + (t * (t * 0.125));
double t_2 = (t * t) * t_1;
double t_3 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 5e+58) {
tmp = ((1.0 + (((t * t) * ((t * t) * (t * t))) * (t_1 * (t_1 * t_1)))) * (t_3 * Math.pow((z * 2.0), 0.5))) / (1.0 + (t_2 * (t_2 + -1.0)));
} else {
tmp = Math.sqrt((z * 2.0)) * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
return tmp;
}
def code(x, y, z, t): t_1 = 0.5 + (t * (t * 0.125)) t_2 = (t * t) * t_1 t_3 = (x * 0.5) - y tmp = 0 if (t * t) <= 5e+58: tmp = ((1.0 + (((t * t) * ((t * t) * (t * t))) * (t_1 * (t_1 * t_1)))) * (t_3 * math.pow((z * 2.0), 0.5))) / (1.0 + (t_2 * (t_2 + -1.0))) else: tmp = math.sqrt((z * 2.0)) * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))) return tmp
function code(x, y, z, t) t_1 = Float64(0.5 + Float64(t * Float64(t * 0.125))) t_2 = Float64(Float64(t * t) * t_1) t_3 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 5e+58) tmp = Float64(Float64(Float64(1.0 + Float64(Float64(Float64(t * t) * Float64(Float64(t * t) * Float64(t * t))) * Float64(t_1 * Float64(t_1 * t_1)))) * Float64(t_3 * (Float64(z * 2.0) ^ 0.5))) / Float64(1.0 + Float64(t_2 * Float64(t_2 + -1.0)))); else tmp = Float64(sqrt(Float64(z * 2.0)) * Float64(t_3 * Float64(1.0 + Float64(Float64(t * t) * Float64(0.5 + Float64(Float64(t * t) * Float64(0.125 + Float64(Float64(t * t) * 0.020833333333333332)))))))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = 0.5 + (t * (t * 0.125)); t_2 = (t * t) * t_1; t_3 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 5e+58) tmp = ((1.0 + (((t * t) * ((t * t) * (t * t))) * (t_1 * (t_1 * t_1)))) * (t_3 * ((z * 2.0) ^ 0.5))) / (1.0 + (t_2 * (t_2 + -1.0))); else tmp = sqrt((z * 2.0)) * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(0.5 + N[(t * N[(t * 0.125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(N[(t * t), $MachinePrecision] * t$95$1), $MachinePrecision]}, Block[{t$95$3 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 5e+58], N[(N[(N[(1.0 + N[(N[(N[(t * t), $MachinePrecision] * N[(N[(t * t), $MachinePrecision] * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$1 * N[(t$95$1 * t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(t$95$3 * N[Power[N[(z * 2.0), $MachinePrecision], 0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$2 * N[(t$95$2 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision] * N[(t$95$3 * N[(1.0 + N[(N[(t * t), $MachinePrecision] * N[(0.5 + N[(N[(t * t), $MachinePrecision] * N[(0.125 + N[(N[(t * t), $MachinePrecision] * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := 0.5 + t \cdot \left(t \cdot 0.125\right)\\
t_2 := \left(t \cdot t\right) \cdot t\_1\\
t_3 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 5 \cdot 10^{+58}:\\
\;\;\;\;\frac{\left(1 + \left(\left(t \cdot t\right) \cdot \left(\left(t \cdot t\right) \cdot \left(t \cdot t\right)\right)\right) \cdot \left(t\_1 \cdot \left(t\_1 \cdot t\_1\right)\right)\right) \cdot \left(t\_3 \cdot {\left(z \cdot 2\right)}^{0.5}\right)}{1 + t\_2 \cdot \left(t\_2 + -1\right)}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{z \cdot 2} \cdot \left(t\_3 \cdot \left(1 + \left(t \cdot t\right) \cdot \left(0.5 + \left(t \cdot t\right) \cdot \left(0.125 + \left(t \cdot t\right) \cdot 0.020833333333333332\right)\right)\right)\right)\\
\end{array}
\end{array}
if (*.f64 t t) < 4.99999999999999986e58Initial program 99.7%
Taylor expanded in t around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6489.4%
Simplified89.4%
Applied egg-rr93.7%
if 4.99999999999999986e58 < (*.f64 t t) Initial program 97.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.0%
Simplified99.0%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (sqrt (* z 2.0)))
(t_2
(* t (+ 0.5 (* t (* t (+ 0.125 (* t (* t 0.020833333333333332))))))))
(t_3 (- (* x 0.5) y)))
(if (<= (* t t) 5e+58)
(/ (* (* t_3 t_1) (- 1.0 (* (* t t) (* t_2 t_2)))) (- 1.0 (* t t_2)))
(*
t_1
(*
t_3
(+
1.0
(*
(* t t)
(+ 0.5 (* (* t t) (+ 0.125 (* (* t t) 0.020833333333333332)))))))))))
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z * 2.0));
double t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332))))));
double t_3 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 5e+58) {
tmp = ((t_3 * t_1) * (1.0 - ((t * t) * (t_2 * t_2)))) / (1.0 - (t * t_2));
} else {
tmp = t_1 * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
return tmp;
}
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((z * 2.0d0))
t_2 = t * (0.5d0 + (t * (t * (0.125d0 + (t * (t * 0.020833333333333332d0))))))
t_3 = (x * 0.5d0) - y
if ((t * t) <= 5d+58) then
tmp = ((t_3 * t_1) * (1.0d0 - ((t * t) * (t_2 * t_2)))) / (1.0d0 - (t * t_2))
else
tmp = t_1 * (t_3 * (1.0d0 + ((t * t) * (0.5d0 + ((t * t) * (0.125d0 + ((t * t) * 0.020833333333333332d0)))))))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z * 2.0));
double t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332))))));
double t_3 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 5e+58) {
tmp = ((t_3 * t_1) * (1.0 - ((t * t) * (t_2 * t_2)))) / (1.0 - (t * t_2));
} else {
tmp = t_1 * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
return tmp;
}
def code(x, y, z, t): t_1 = math.sqrt((z * 2.0)) t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332)))))) t_3 = (x * 0.5) - y tmp = 0 if (t * t) <= 5e+58: tmp = ((t_3 * t_1) * (1.0 - ((t * t) * (t_2 * t_2)))) / (1.0 - (t * t_2)) else: tmp = t_1 * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))) return tmp
function code(x, y, z, t) t_1 = sqrt(Float64(z * 2.0)) t_2 = Float64(t * Float64(0.5 + Float64(t * Float64(t * Float64(0.125 + Float64(t * Float64(t * 0.020833333333333332))))))) t_3 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 5e+58) tmp = Float64(Float64(Float64(t_3 * t_1) * Float64(1.0 - Float64(Float64(t * t) * Float64(t_2 * t_2)))) / Float64(1.0 - Float64(t * t_2))); else tmp = Float64(t_1 * Float64(t_3 * Float64(1.0 + Float64(Float64(t * t) * Float64(0.5 + Float64(Float64(t * t) * Float64(0.125 + Float64(Float64(t * t) * 0.020833333333333332)))))))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = sqrt((z * 2.0)); t_2 = t * (0.5 + (t * (t * (0.125 + (t * (t * 0.020833333333333332)))))); t_3 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 5e+58) tmp = ((t_3 * t_1) * (1.0 - ((t * t) * (t_2 * t_2)))) / (1.0 - (t * t_2)); else tmp = t_1 * (t_3 * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t * N[(0.5 + N[(t * N[(t * N[(0.125 + N[(t * N[(t * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 5e+58], N[(N[(N[(t$95$3 * t$95$1), $MachinePrecision] * N[(1.0 - N[(N[(t * t), $MachinePrecision] * N[(t$95$2 * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(t * t$95$2), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[(t$95$3 * N[(1.0 + N[(N[(t * t), $MachinePrecision] * N[(0.5 + N[(N[(t * t), $MachinePrecision] * N[(0.125 + N[(N[(t * t), $MachinePrecision] * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sqrt{z \cdot 2}\\
t_2 := t \cdot \left(0.5 + t \cdot \left(t \cdot \left(0.125 + t \cdot \left(t \cdot 0.020833333333333332\right)\right)\right)\right)\\
t_3 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 5 \cdot 10^{+58}:\\
\;\;\;\;\frac{\left(t\_3 \cdot t\_1\right) \cdot \left(1 - \left(t \cdot t\right) \cdot \left(t\_2 \cdot t\_2\right)\right)}{1 - t \cdot t\_2}\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \left(t\_3 \cdot \left(1 + \left(t \cdot t\right) \cdot \left(0.5 + \left(t \cdot t\right) \cdot \left(0.125 + \left(t \cdot t\right) \cdot 0.020833333333333332\right)\right)\right)\right)\\
\end{array}
\end{array}
if (*.f64 t t) < 4.99999999999999986e58Initial program 99.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.7%
Simplified99.7%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6490.2%
Simplified90.2%
associate-*r*N/A
flip-+N/A
associate-*r/N/A
/-lowering-/.f64N/A
Applied egg-rr93.2%
if 4.99999999999999986e58 < (*.f64 t t) Initial program 97.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.0%
Simplified99.0%
Final simplification95.5%
(FPCore (x y z t)
:precision binary64
(let* ((t_1
(*
(sqrt (* z 2.0))
(* (- (* x 0.5) y) (+ 1.0 (* t (* t (+ 0.5 (* (* t t) 0.125)))))))))
(if (<= (* t t) 5.0)
t_1
(if (<= (* t t) 1e+52)
(/
1.0
(/
(* 0.25 (* x x))
(* (pow (* z 2.0) 0.5) (- (* 0.125 (* x (* x x))) (* y (* y y))))))
t_1))))
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + (t * (t * (0.5 + ((t * t) * 0.125))))));
double tmp;
if ((t * t) <= 5.0) {
tmp = t_1;
} else if ((t * t) <= 1e+52) {
tmp = 1.0 / ((0.25 * (x * x)) / (pow((z * 2.0), 0.5) * ((0.125 * (x * (x * x))) - (y * (y * y)))));
} else {
tmp = t_1;
}
return tmp;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = sqrt((z * 2.0d0)) * (((x * 0.5d0) - y) * (1.0d0 + (t * (t * (0.5d0 + ((t * t) * 0.125d0))))))
if ((t * t) <= 5.0d0) then
tmp = t_1
else if ((t * t) <= 1d+52) then
tmp = 1.0d0 / ((0.25d0 * (x * x)) / (((z * 2.0d0) ** 0.5d0) * ((0.125d0 * (x * (x * x))) - (y * (y * y)))))
else
tmp = t_1
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + (t * (t * (0.5 + ((t * t) * 0.125))))));
double tmp;
if ((t * t) <= 5.0) {
tmp = t_1;
} else if ((t * t) <= 1e+52) {
tmp = 1.0 / ((0.25 * (x * x)) / (Math.pow((z * 2.0), 0.5) * ((0.125 * (x * (x * x))) - (y * (y * y)))));
} else {
tmp = t_1;
}
return tmp;
}
def code(x, y, z, t): t_1 = math.sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + (t * (t * (0.5 + ((t * t) * 0.125)))))) tmp = 0 if (t * t) <= 5.0: tmp = t_1 elif (t * t) <= 1e+52: tmp = 1.0 / ((0.25 * (x * x)) / (math.pow((z * 2.0), 0.5) * ((0.125 * (x * (x * x))) - (y * (y * y))))) else: tmp = t_1 return tmp
function code(x, y, z, t) t_1 = Float64(sqrt(Float64(z * 2.0)) * Float64(Float64(Float64(x * 0.5) - y) * Float64(1.0 + Float64(t * Float64(t * Float64(0.5 + Float64(Float64(t * t) * 0.125))))))) tmp = 0.0 if (Float64(t * t) <= 5.0) tmp = t_1; elseif (Float64(t * t) <= 1e+52) tmp = Float64(1.0 / Float64(Float64(0.25 * Float64(x * x)) / Float64((Float64(z * 2.0) ^ 0.5) * Float64(Float64(0.125 * Float64(x * Float64(x * x))) - Float64(y * Float64(y * y)))))); else tmp = t_1; end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + (t * (t * (0.5 + ((t * t) * 0.125)))))); tmp = 0.0; if ((t * t) <= 5.0) tmp = t_1; elseif ((t * t) <= 1e+52) tmp = 1.0 / ((0.25 * (x * x)) / (((z * 2.0) ^ 0.5) * ((0.125 * (x * (x * x))) - (y * (y * y))))); else tmp = t_1; end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 + N[(t * N[(t * N[(0.5 + N[(N[(t * t), $MachinePrecision] * 0.125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 5.0], t$95$1, If[LessEqual[N[(t * t), $MachinePrecision], 1e+52], N[(1.0 / N[(N[(0.25 * N[(x * x), $MachinePrecision]), $MachinePrecision] / N[(N[Power[N[(z * 2.0), $MachinePrecision], 0.5], $MachinePrecision] * N[(N[(0.125 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - N[(y * N[(y * y), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], t$95$1]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sqrt{z \cdot 2} \cdot \left(\left(x \cdot 0.5 - y\right) \cdot \left(1 + t \cdot \left(t \cdot \left(0.5 + \left(t \cdot t\right) \cdot 0.125\right)\right)\right)\right)\\
\mathbf{if}\;t \cdot t \leq 5:\\
\;\;\;\;t\_1\\
\mathbf{elif}\;t \cdot t \leq 10^{+52}:\\
\;\;\;\;\frac{1}{\frac{0.25 \cdot \left(x \cdot x\right)}{{\left(z \cdot 2\right)}^{0.5} \cdot \left(0.125 \cdot \left(x \cdot \left(x \cdot x\right)\right) - y \cdot \left(y \cdot y\right)\right)}}\\
\mathbf{else}:\\
\;\;\;\;t\_1\\
\end{array}
\end{array}
if (*.f64 t t) < 5 or 9.9999999999999999e51 < (*.f64 t t) Initial program 98.6%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
Taylor expanded in t around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6497.2%
Simplified97.2%
if 5 < (*.f64 t t) < 9.9999999999999999e51Initial program 100.0%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f644.0%
Simplified4.0%
*-commutativeN/A
flip3--N/A
associate-*r/N/A
clear-numN/A
/-lowering-/.f64N/A
/-lowering-/.f64N/A
Applied egg-rr34.8%
Taylor expanded in x around inf
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6467.3%
Simplified67.3%
(FPCore (x y z t)
:precision binary64
(*
(sqrt (* z 2.0))
(*
(- (* x 0.5) y)
(+
1.0
(*
(* t t)
(+ 0.5 (* (* t t) (+ 0.125 (* (* t t) 0.020833333333333332)))))))))
double code(double x, double y, double z, double t) {
return sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
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 * 2.0d0)) * (((x * 0.5d0) - y) * (1.0d0 + ((t * t) * (0.5d0 + ((t * t) * (0.125d0 + ((t * t) * 0.020833333333333332d0)))))))
end function
public static double code(double x, double y, double z, double t) {
return Math.sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))));
}
def code(x, y, z, t): return math.sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332)))))))
function code(x, y, z, t) return Float64(sqrt(Float64(z * 2.0)) * Float64(Float64(Float64(x * 0.5) - y) * Float64(1.0 + Float64(Float64(t * t) * Float64(0.5 + Float64(Float64(t * t) * Float64(0.125 + Float64(Float64(t * t) * 0.020833333333333332)))))))) end
function tmp = code(x, y, z, t) tmp = sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + ((t * t) * (0.5 + ((t * t) * (0.125 + ((t * t) * 0.020833333333333332))))))); end
code[x_, y_, z_, t_] := N[(N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 + N[(N[(t * t), $MachinePrecision] * N[(0.5 + N[(N[(t * t), $MachinePrecision] * N[(0.125 + N[(N[(t * t), $MachinePrecision] * 0.020833333333333332), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{z \cdot 2} \cdot \left(\left(x \cdot 0.5 - y\right) \cdot \left(1 + \left(t \cdot t\right) \cdot \left(0.5 + \left(t \cdot t\right) \cdot \left(0.125 + \left(t \cdot t\right) \cdot 0.020833333333333332\right)\right)\right)\right)
\end{array}
Initial program 98.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6493.7%
Simplified93.7%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (* x 0.5) y)))
(if (<= (* t t) 5e+102)
(* (sqrt (* z 2.0)) (* t_1 (+ 1.0 (* 0.5 (* t t)))))
(* t_1 (sqrt (* z (* (* t t) (* t t))))))))
double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 5e+102) {
tmp = sqrt((z * 2.0)) * (t_1 * (1.0 + (0.5 * (t * t))));
} else {
tmp = t_1 * sqrt((z * ((t * t) * (t * t))));
}
return tmp;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = (x * 0.5d0) - y
if ((t * t) <= 5d+102) then
tmp = sqrt((z * 2.0d0)) * (t_1 * (1.0d0 + (0.5d0 * (t * t))))
else
tmp = t_1 * sqrt((z * ((t * t) * (t * t))))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 5e+102) {
tmp = Math.sqrt((z * 2.0)) * (t_1 * (1.0 + (0.5 * (t * t))));
} else {
tmp = t_1 * Math.sqrt((z * ((t * t) * (t * t))));
}
return tmp;
}
def code(x, y, z, t): t_1 = (x * 0.5) - y tmp = 0 if (t * t) <= 5e+102: tmp = math.sqrt((z * 2.0)) * (t_1 * (1.0 + (0.5 * (t * t)))) else: tmp = t_1 * math.sqrt((z * ((t * t) * (t * t)))) return tmp
function code(x, y, z, t) t_1 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 5e+102) tmp = Float64(sqrt(Float64(z * 2.0)) * Float64(t_1 * Float64(1.0 + Float64(0.5 * Float64(t * t))))); else tmp = Float64(t_1 * sqrt(Float64(z * Float64(Float64(t * t) * Float64(t * t))))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 5e+102) tmp = sqrt((z * 2.0)) * (t_1 * (1.0 + (0.5 * (t * t)))); else tmp = t_1 * sqrt((z * ((t * t) * (t * t)))); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 5e+102], N[(N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision] * N[(t$95$1 * N[(1.0 + N[(0.5 * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[Sqrt[N[(z * N[(N[(t * t), $MachinePrecision] * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 5 \cdot 10^{+102}:\\
\;\;\;\;\sqrt{z \cdot 2} \cdot \left(t\_1 \cdot \left(1 + 0.5 \cdot \left(t \cdot t\right)\right)\right)\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \sqrt{z \cdot \left(\left(t \cdot t\right) \cdot \left(t \cdot t\right)\right)}\\
\end{array}
\end{array}
if (*.f64 t t) < 5e102Initial program 99.1%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.7%
Simplified99.7%
Taylor expanded in t around 0
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6488.6%
Simplified88.6%
if 5e102 < (*.f64 t t) Initial program 97.9%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64100.0%
Applied egg-rr100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6491.0%
Simplified91.0%
Taylor expanded in t around inf
*-commutativeN/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6495.9%
Simplified95.9%
Final simplification91.3%
(FPCore (x y z t) :precision binary64 (* (sqrt (* z 2.0)) (* (- (* x 0.5) y) (+ 1.0 (* t (* t (+ 0.5 (* (* t t) 0.125))))))))
double code(double x, double y, double z, double t) {
return sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + (t * (t * (0.5 + ((t * t) * 0.125))))));
}
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 * 2.0d0)) * (((x * 0.5d0) - y) * (1.0d0 + (t * (t * (0.5d0 + ((t * t) * 0.125d0))))))
end function
public static double code(double x, double y, double z, double t) {
return Math.sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + (t * (t * (0.5 + ((t * t) * 0.125))))));
}
def code(x, y, z, t): return math.sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + (t * (t * (0.5 + ((t * t) * 0.125))))))
function code(x, y, z, t) return Float64(sqrt(Float64(z * 2.0)) * Float64(Float64(Float64(x * 0.5) - y) * Float64(1.0 + Float64(t * Float64(t * Float64(0.5 + Float64(Float64(t * t) * 0.125))))))) end
function tmp = code(x, y, z, t) tmp = sqrt((z * 2.0)) * (((x * 0.5) - y) * (1.0 + (t * (t * (0.5 + ((t * t) * 0.125)))))); end
code[x_, y_, z_, t_] := N[(N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[(1.0 + N[(t * N[(t * N[(0.5 + N[(N[(t * t), $MachinePrecision] * 0.125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{z \cdot 2} \cdot \left(\left(x \cdot 0.5 - y\right) \cdot \left(1 + t \cdot \left(t \cdot \left(0.5 + \left(t \cdot t\right) \cdot 0.125\right)\right)\right)\right)
\end{array}
Initial program 98.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
Taylor expanded in t around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6492.1%
Simplified92.1%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (* x 0.5) y)))
(if (<= (* t t) 2.7)
(* t_1 (sqrt (* z (+ 2.0 (* 2.0 (* t t))))))
(* t_1 (sqrt (* z (* (* t t) (* t t))))))))
double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 2.7) {
tmp = t_1 * sqrt((z * (2.0 + (2.0 * (t * t)))));
} else {
tmp = t_1 * sqrt((z * ((t * t) * (t * t))));
}
return tmp;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = (x * 0.5d0) - y
if ((t * t) <= 2.7d0) then
tmp = t_1 * sqrt((z * (2.0d0 + (2.0d0 * (t * t)))))
else
tmp = t_1 * sqrt((z * ((t * t) * (t * t))))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 2.7) {
tmp = t_1 * Math.sqrt((z * (2.0 + (2.0 * (t * t)))));
} else {
tmp = t_1 * Math.sqrt((z * ((t * t) * (t * t))));
}
return tmp;
}
def code(x, y, z, t): t_1 = (x * 0.5) - y tmp = 0 if (t * t) <= 2.7: tmp = t_1 * math.sqrt((z * (2.0 + (2.0 * (t * t))))) else: tmp = t_1 * math.sqrt((z * ((t * t) * (t * t)))) return tmp
function code(x, y, z, t) t_1 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 2.7) tmp = Float64(t_1 * sqrt(Float64(z * Float64(2.0 + Float64(2.0 * Float64(t * t)))))); else tmp = Float64(t_1 * sqrt(Float64(z * Float64(Float64(t * t) * Float64(t * t))))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 2.7) tmp = t_1 * sqrt((z * (2.0 + (2.0 * (t * t))))); else tmp = t_1 * sqrt((z * ((t * t) * (t * t)))); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 2.7], N[(t$95$1 * N[Sqrt[N[(z * N[(2.0 + N[(2.0 * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[Sqrt[N[(z * N[(N[(t * t), $MachinePrecision] * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 2.7:\\
\;\;\;\;t\_1 \cdot \sqrt{z \cdot \left(2 + 2 \cdot \left(t \cdot t\right)\right)}\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \sqrt{z \cdot \left(\left(t \cdot t\right) \cdot \left(t \cdot t\right)\right)}\\
\end{array}
\end{array}
if (*.f64 t t) < 2.7000000000000002Initial program 99.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.7%
Simplified99.7%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f6499.7%
Applied egg-rr99.7%
Taylor expanded in t around 0
associate-*r*N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.1%
Simplified99.1%
if 2.7000000000000002 < (*.f64 t t) Initial program 97.5%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64100.0%
Applied egg-rr100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6477.5%
Simplified77.5%
Taylor expanded in t around inf
*-commutativeN/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6481.4%
Simplified81.4%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (* x 0.5) y)))
(if (<= (* t t) 1.4)
(* t_1 (sqrt (* z 2.0)))
(* t_1 (sqrt (* z (* (* t t) (* t t))))))))
double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 1.4) {
tmp = t_1 * sqrt((z * 2.0));
} else {
tmp = t_1 * sqrt((z * ((t * t) * (t * t))));
}
return tmp;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = (x * 0.5d0) - y
if ((t * t) <= 1.4d0) then
tmp = t_1 * sqrt((z * 2.0d0))
else
tmp = t_1 * sqrt((z * ((t * t) * (t * t))))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 1.4) {
tmp = t_1 * Math.sqrt((z * 2.0));
} else {
tmp = t_1 * Math.sqrt((z * ((t * t) * (t * t))));
}
return tmp;
}
def code(x, y, z, t): t_1 = (x * 0.5) - y tmp = 0 if (t * t) <= 1.4: tmp = t_1 * math.sqrt((z * 2.0)) else: tmp = t_1 * math.sqrt((z * ((t * t) * (t * t)))) return tmp
function code(x, y, z, t) t_1 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 1.4) tmp = Float64(t_1 * sqrt(Float64(z * 2.0))); else tmp = Float64(t_1 * sqrt(Float64(z * Float64(Float64(t * t) * Float64(t * t))))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 1.4) tmp = t_1 * sqrt((z * 2.0)); else tmp = t_1 * sqrt((z * ((t * t) * (t * t)))); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 1.4], N[(t$95$1 * N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[Sqrt[N[(z * N[(N[(t * t), $MachinePrecision] * N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 1.4:\\
\;\;\;\;t\_1 \cdot \sqrt{z \cdot 2}\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \sqrt{z \cdot \left(\left(t \cdot t\right) \cdot \left(t \cdot t\right)\right)}\\
\end{array}
\end{array}
if (*.f64 t t) < 1.3999999999999999Initial program 99.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.7%
Simplified99.7%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6499.1%
Simplified99.1%
if 1.3999999999999999 < (*.f64 t t) Initial program 97.5%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64100.0%
Applied egg-rr100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6477.0%
Simplified77.0%
Taylor expanded in t around inf
*-commutativeN/A
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6480.9%
Simplified80.9%
Final simplification90.6%
(FPCore (x y z t) :precision binary64 (* (- (* x 0.5) y) (sqrt (* z (+ 2.0 (* (* t t) (+ 2.0 (* t t))))))))
double code(double x, double y, double z, double t) {
return ((x * 0.5) - y) * sqrt((z * (2.0 + ((t * t) * (2.0 + (t * 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 = ((x * 0.5d0) - y) * sqrt((z * (2.0d0 + ((t * t) * (2.0d0 + (t * t))))))
end function
public static double code(double x, double y, double z, double t) {
return ((x * 0.5) - y) * Math.sqrt((z * (2.0 + ((t * t) * (2.0 + (t * t))))));
}
def code(x, y, z, t): return ((x * 0.5) - y) * math.sqrt((z * (2.0 + ((t * t) * (2.0 + (t * t))))))
function code(x, y, z, t) return Float64(Float64(Float64(x * 0.5) - y) * sqrt(Float64(z * Float64(2.0 + Float64(Float64(t * t) * Float64(2.0 + Float64(t * t))))))) end
function tmp = code(x, y, z, t) tmp = ((x * 0.5) - y) * sqrt((z * (2.0 + ((t * t) * (2.0 + (t * t)))))); end
code[x_, y_, z_, t_] := N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[Sqrt[N[(z * N[(2.0 + N[(N[(t * t), $MachinePrecision] * N[(2.0 + N[(t * t), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot \left(2 + \left(t \cdot t\right) \cdot \left(2 + t \cdot t\right)\right)}
\end{array}
Initial program 98.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f6499.8%
Applied egg-rr99.8%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6489.2%
Simplified89.2%
Taylor expanded in z around 0
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6491.0%
Simplified91.0%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (* x 0.5) y)))
(if (<= (* t t) 1.4)
(* t_1 (sqrt (* z 2.0)))
(* t_1 (* (* t t) (sqrt z))))))
double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 1.4) {
tmp = t_1 * sqrt((z * 2.0));
} else {
tmp = t_1 * ((t * t) * sqrt(z));
}
return tmp;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = (x * 0.5d0) - y
if ((t * t) <= 1.4d0) then
tmp = t_1 * sqrt((z * 2.0d0))
else
tmp = t_1 * ((t * t) * sqrt(z))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 1.4) {
tmp = t_1 * Math.sqrt((z * 2.0));
} else {
tmp = t_1 * ((t * t) * Math.sqrt(z));
}
return tmp;
}
def code(x, y, z, t): t_1 = (x * 0.5) - y tmp = 0 if (t * t) <= 1.4: tmp = t_1 * math.sqrt((z * 2.0)) else: tmp = t_1 * ((t * t) * math.sqrt(z)) return tmp
function code(x, y, z, t) t_1 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 1.4) tmp = Float64(t_1 * sqrt(Float64(z * 2.0))); else tmp = Float64(t_1 * Float64(Float64(t * t) * sqrt(z))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 1.4) tmp = t_1 * sqrt((z * 2.0)); else tmp = t_1 * ((t * t) * sqrt(z)); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 1.4], N[(t$95$1 * N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(t$95$1 * N[(N[(t * t), $MachinePrecision] * N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 1.4:\\
\;\;\;\;t\_1 \cdot \sqrt{z \cdot 2}\\
\mathbf{else}:\\
\;\;\;\;t\_1 \cdot \left(\left(t \cdot t\right) \cdot \sqrt{z}\right)\\
\end{array}
\end{array}
if (*.f64 t t) < 1.3999999999999999Initial program 99.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.7%
Simplified99.7%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6499.1%
Simplified99.1%
if 1.3999999999999999 < (*.f64 t t) Initial program 97.5%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64100.0%
Applied egg-rr100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6477.0%
Simplified77.0%
Taylor expanded in t around inf
*-commutativeN/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
unpow2N/A
*-lowering-*.f6471.5%
Simplified71.5%
Final simplification86.2%
(FPCore (x y z t)
:precision binary64
(let* ((t_1 (- (* x 0.5) y)))
(if (<= (* t t) 1.4)
(* t_1 (sqrt (* z 2.0)))
(* (* t t) (* t_1 (sqrt z))))))
double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 1.4) {
tmp = t_1 * sqrt((z * 2.0));
} else {
tmp = (t * t) * (t_1 * sqrt(z));
}
return tmp;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: t_1
real(8) :: tmp
t_1 = (x * 0.5d0) - y
if ((t * t) <= 1.4d0) then
tmp = t_1 * sqrt((z * 2.0d0))
else
tmp = (t * t) * (t_1 * sqrt(z))
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = (x * 0.5) - y;
double tmp;
if ((t * t) <= 1.4) {
tmp = t_1 * Math.sqrt((z * 2.0));
} else {
tmp = (t * t) * (t_1 * Math.sqrt(z));
}
return tmp;
}
def code(x, y, z, t): t_1 = (x * 0.5) - y tmp = 0 if (t * t) <= 1.4: tmp = t_1 * math.sqrt((z * 2.0)) else: tmp = (t * t) * (t_1 * math.sqrt(z)) return tmp
function code(x, y, z, t) t_1 = Float64(Float64(x * 0.5) - y) tmp = 0.0 if (Float64(t * t) <= 1.4) tmp = Float64(t_1 * sqrt(Float64(z * 2.0))); else tmp = Float64(Float64(t * t) * Float64(t_1 * sqrt(z))); end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = (x * 0.5) - y; tmp = 0.0; if ((t * t) <= 1.4) tmp = t_1 * sqrt((z * 2.0)); else tmp = (t * t) * (t_1 * sqrt(z)); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision]}, If[LessEqual[N[(t * t), $MachinePrecision], 1.4], N[(t$95$1 * N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[(t * t), $MachinePrecision] * N[(t$95$1 * N[Sqrt[z], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := x \cdot 0.5 - y\\
\mathbf{if}\;t \cdot t \leq 1.4:\\
\;\;\;\;t\_1 \cdot \sqrt{z \cdot 2}\\
\mathbf{else}:\\
\;\;\;\;\left(t \cdot t\right) \cdot \left(t\_1 \cdot \sqrt{z}\right)\\
\end{array}
\end{array}
if (*.f64 t t) < 1.3999999999999999Initial program 99.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.7%
Simplified99.7%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6499.1%
Simplified99.1%
if 1.3999999999999999 < (*.f64 t t) Initial program 97.5%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
associate-*r*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-sqrtN/A
sqrt-unprodN/A
sqrt-lowering-sqrt.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-lowering-*.f64100.0%
Applied egg-rr100.0%
Taylor expanded in t around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
distribute-rgt-outN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
*-lowering-*.f6477.0%
Simplified77.0%
Taylor expanded in t around inf
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
--lowering--.f64N/A
*-lowering-*.f6469.8%
Simplified69.8%
Final simplification85.5%
(FPCore (x y z t) :precision binary64 (let* ((t_1 (sqrt (* z 2.0))) (t_2 (* t_1 (- 0.0 y)))) (if (<= y -6.8e+121) t_2 (if (<= y 1.55e-115) (* t_1 (* x 0.5)) t_2))))
double code(double x, double y, double z, double t) {
double t_1 = sqrt((z * 2.0));
double t_2 = t_1 * (0.0 - y);
double tmp;
if (y <= -6.8e+121) {
tmp = t_2;
} else if (y <= 1.55e-115) {
tmp = t_1 * (x * 0.5);
} else {
tmp = t_2;
}
return tmp;
}
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((z * 2.0d0))
t_2 = t_1 * (0.0d0 - y)
if (y <= (-6.8d+121)) then
tmp = t_2
else if (y <= 1.55d-115) then
tmp = t_1 * (x * 0.5d0)
else
tmp = t_2
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double t_1 = Math.sqrt((z * 2.0));
double t_2 = t_1 * (0.0 - y);
double tmp;
if (y <= -6.8e+121) {
tmp = t_2;
} else if (y <= 1.55e-115) {
tmp = t_1 * (x * 0.5);
} else {
tmp = t_2;
}
return tmp;
}
def code(x, y, z, t): t_1 = math.sqrt((z * 2.0)) t_2 = t_1 * (0.0 - y) tmp = 0 if y <= -6.8e+121: tmp = t_2 elif y <= 1.55e-115: tmp = t_1 * (x * 0.5) else: tmp = t_2 return tmp
function code(x, y, z, t) t_1 = sqrt(Float64(z * 2.0)) t_2 = Float64(t_1 * Float64(0.0 - y)) tmp = 0.0 if (y <= -6.8e+121) tmp = t_2; elseif (y <= 1.55e-115) tmp = Float64(t_1 * Float64(x * 0.5)); else tmp = t_2; end return tmp end
function tmp_2 = code(x, y, z, t) t_1 = sqrt((z * 2.0)); t_2 = t_1 * (0.0 - y); tmp = 0.0; if (y <= -6.8e+121) tmp = t_2; elseif (y <= 1.55e-115) tmp = t_1 * (x * 0.5); else tmp = t_2; end tmp_2 = tmp; end
code[x_, y_, z_, t_] := Block[{t$95$1 = N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]}, Block[{t$95$2 = N[(t$95$1 * N[(0.0 - y), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[y, -6.8e+121], t$95$2, If[LessEqual[y, 1.55e-115], N[(t$95$1 * N[(x * 0.5), $MachinePrecision]), $MachinePrecision], t$95$2]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_1 := \sqrt{z \cdot 2}\\
t_2 := t\_1 \cdot \left(0 - y\right)\\
\mathbf{if}\;y \leq -6.8 \cdot 10^{+121}:\\
\;\;\;\;t\_2\\
\mathbf{elif}\;y \leq 1.55 \cdot 10^{-115}:\\
\;\;\;\;t\_1 \cdot \left(x \cdot 0.5\right)\\
\mathbf{else}:\\
\;\;\;\;t\_2\\
\end{array}
\end{array}
if y < -6.80000000000000021e121 or 1.55000000000000003e-115 < y Initial program 99.8%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6464.3%
Simplified64.3%
Taylor expanded in x around 0
mul-1-negN/A
neg-sub0N/A
--lowering--.f6453.9%
Simplified53.9%
sub0-negN/A
neg-lowering-neg.f6453.9%
Applied egg-rr53.9%
if -6.80000000000000021e121 < y < 1.55000000000000003e-115Initial program 97.5%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.9%
Simplified99.9%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6452.7%
Simplified52.7%
Taylor expanded in x around inf
*-lowering-*.f6442.4%
Simplified42.4%
Final simplification48.1%
(FPCore (x y z t) :precision binary64 (if (<= t 98000000000.0) (* (- (* x 0.5) y) (sqrt (* z 2.0))) (* (pow (* 4.0 (* z z)) 0.25) (- 0.0 y))))
double code(double x, double y, double z, double t) {
double tmp;
if (t <= 98000000000.0) {
tmp = ((x * 0.5) - y) * sqrt((z * 2.0));
} else {
tmp = pow((4.0 * (z * z)), 0.25) * (0.0 - y);
}
return tmp;
}
real(8) function code(x, y, z, t)
real(8), intent (in) :: x
real(8), intent (in) :: y
real(8), intent (in) :: z
real(8), intent (in) :: t
real(8) :: tmp
if (t <= 98000000000.0d0) then
tmp = ((x * 0.5d0) - y) * sqrt((z * 2.0d0))
else
tmp = ((4.0d0 * (z * z)) ** 0.25d0) * (0.0d0 - y)
end if
code = tmp
end function
public static double code(double x, double y, double z, double t) {
double tmp;
if (t <= 98000000000.0) {
tmp = ((x * 0.5) - y) * Math.sqrt((z * 2.0));
} else {
tmp = Math.pow((4.0 * (z * z)), 0.25) * (0.0 - y);
}
return tmp;
}
def code(x, y, z, t): tmp = 0 if t <= 98000000000.0: tmp = ((x * 0.5) - y) * math.sqrt((z * 2.0)) else: tmp = math.pow((4.0 * (z * z)), 0.25) * (0.0 - y) return tmp
function code(x, y, z, t) tmp = 0.0 if (t <= 98000000000.0) tmp = Float64(Float64(Float64(x * 0.5) - y) * sqrt(Float64(z * 2.0))); else tmp = Float64((Float64(4.0 * Float64(z * z)) ^ 0.25) * Float64(0.0 - y)); end return tmp end
function tmp_2 = code(x, y, z, t) tmp = 0.0; if (t <= 98000000000.0) tmp = ((x * 0.5) - y) * sqrt((z * 2.0)); else tmp = ((4.0 * (z * z)) ^ 0.25) * (0.0 - y); end tmp_2 = tmp; end
code[x_, y_, z_, t_] := If[LessEqual[t, 98000000000.0], N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(4.0 * N[(z * z), $MachinePrecision]), $MachinePrecision], 0.25], $MachinePrecision] * N[(0.0 - y), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;t \leq 98000000000:\\
\;\;\;\;\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot 2}\\
\mathbf{else}:\\
\;\;\;\;{\left(4 \cdot \left(z \cdot z\right)\right)}^{0.25} \cdot \left(0 - y\right)\\
\end{array}
\end{array}
if t < 9.8e10Initial program 98.8%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6470.9%
Simplified70.9%
if 9.8e10 < t Initial program 98.1%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6411.7%
Simplified11.7%
Taylor expanded in x around 0
mul-1-negN/A
neg-sub0N/A
--lowering--.f648.9%
Simplified8.9%
pow1/2N/A
*-commutativeN/A
metadata-evalN/A
pow-prod-upN/A
pow-prod-downN/A
pow-lowering-pow.f64N/A
swap-sqrN/A
*-lowering-*.f64N/A
metadata-evalN/A
*-lowering-*.f6431.6%
Applied egg-rr31.6%
Final simplification62.6%
(FPCore (x y z t) :precision binary64 (* (- (* x 0.5) y) (sqrt (* z 2.0))))
double code(double x, double y, double z, double t) {
return ((x * 0.5) - y) * sqrt((z * 2.0));
}
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 = ((x * 0.5d0) - y) * sqrt((z * 2.0d0))
end function
public static double code(double x, double y, double z, double t) {
return ((x * 0.5) - y) * Math.sqrt((z * 2.0));
}
def code(x, y, z, t): return ((x * 0.5) - y) * math.sqrt((z * 2.0))
function code(x, y, z, t) return Float64(Float64(Float64(x * 0.5) - y) * sqrt(Float64(z * 2.0))) end
function tmp = code(x, y, z, t) tmp = ((x * 0.5) - y) * sqrt((z * 2.0)); end
code[x_, y_, z_, t_] := N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot 2}
\end{array}
Initial program 98.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6458.4%
Simplified58.4%
Final simplification58.4%
(FPCore (x y z t) :precision binary64 (* (sqrt (* z 2.0)) (- 0.0 y)))
double code(double x, double y, double z, double t) {
return sqrt((z * 2.0)) * (0.0 - y);
}
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 * 2.0d0)) * (0.0d0 - y)
end function
public static double code(double x, double y, double z, double t) {
return Math.sqrt((z * 2.0)) * (0.0 - y);
}
def code(x, y, z, t): return math.sqrt((z * 2.0)) * (0.0 - y)
function code(x, y, z, t) return Float64(sqrt(Float64(z * 2.0)) * Float64(0.0 - y)) end
function tmp = code(x, y, z, t) tmp = sqrt((z * 2.0)) * (0.0 - y); end
code[x_, y_, z_, t_] := N[(N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision] * N[(0.0 - y), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\sqrt{z \cdot 2} \cdot \left(0 - y\right)
\end{array}
Initial program 98.7%
associate-*l*N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
sqrt-lowering-sqrt.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
/-lowering-/.f64N/A
*-lowering-*.f6499.8%
Simplified99.8%
Taylor expanded in t around 0
--lowering--.f64N/A
*-lowering-*.f6458.4%
Simplified58.4%
Taylor expanded in x around 0
mul-1-negN/A
neg-sub0N/A
--lowering--.f6433.8%
Simplified33.8%
sub0-negN/A
neg-lowering-neg.f6433.8%
Applied egg-rr33.8%
Final simplification33.8%
(FPCore (x y z t) :precision binary64 (* (* (- (* x 0.5) y) (sqrt (* z 2.0))) (pow (exp 1.0) (/ (* t t) 2.0))))
double code(double x, double y, double z, double t) {
return (((x * 0.5) - y) * sqrt((z * 2.0))) * pow(exp(1.0), ((t * t) / 2.0));
}
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 = (((x * 0.5d0) - y) * sqrt((z * 2.0d0))) * (exp(1.0d0) ** ((t * t) / 2.0d0))
end function
public static double code(double x, double y, double z, double t) {
return (((x * 0.5) - y) * Math.sqrt((z * 2.0))) * Math.pow(Math.exp(1.0), ((t * t) / 2.0));
}
def code(x, y, z, t): return (((x * 0.5) - y) * math.sqrt((z * 2.0))) * math.pow(math.exp(1.0), ((t * t) / 2.0))
function code(x, y, z, t) return Float64(Float64(Float64(Float64(x * 0.5) - y) * sqrt(Float64(z * 2.0))) * (exp(1.0) ^ Float64(Float64(t * t) / 2.0))) end
function tmp = code(x, y, z, t) tmp = (((x * 0.5) - y) * sqrt((z * 2.0))) * (exp(1.0) ^ ((t * t) / 2.0)); end
code[x_, y_, z_, t_] := N[(N[(N[(N[(x * 0.5), $MachinePrecision] - y), $MachinePrecision] * N[Sqrt[N[(z * 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] * N[Power[N[Exp[1.0], $MachinePrecision], N[(N[(t * t), $MachinePrecision] / 2.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(x \cdot 0.5 - y\right) \cdot \sqrt{z \cdot 2}\right) \cdot {\left(e^{1}\right)}^{\left(\frac{t \cdot t}{2}\right)}
\end{array}
herbie shell --seed 2024149
(FPCore (x y z t)
:name "Data.Number.Erf:$cinvnormcdf from erf-2.0.0.0, A"
:precision binary64
:alt
(! :herbie-platform default (* (* (- (* x 1/2) y) (sqrt (* z 2))) (pow (exp 1) (/ (* t t) 2))))
(* (* (- (* x 0.5) y) (sqrt (* z 2.0))) (exp (/ (* t t) 2.0))))