
(FPCore (x) :precision binary64 (* (cos x) (exp (* 10.0 (* x x)))))
double code(double x) {
return cos(x) * exp((10.0 * (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = cos(x) * exp((10.0d0 * (x * x)))
end function
public static double code(double x) {
return Math.cos(x) * Math.exp((10.0 * (x * x)));
}
def code(x): return math.cos(x) * math.exp((10.0 * (x * x)))
function code(x) return Float64(cos(x) * exp(Float64(10.0 * Float64(x * x)))) end
function tmp = code(x) tmp = cos(x) * exp((10.0 * (x * x))); end
code[x_] := N[(N[Cos[x], $MachinePrecision] * N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\cos x \cdot e^{10 \cdot \left(x \cdot x\right)}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 17 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (* (cos x) (exp (* 10.0 (* x x)))))
double code(double x) {
return cos(x) * exp((10.0 * (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = cos(x) * exp((10.0d0 * (x * x)))
end function
public static double code(double x) {
return Math.cos(x) * Math.exp((10.0 * (x * x)));
}
def code(x): return math.cos(x) * math.exp((10.0 * (x * x)))
function code(x) return Float64(cos(x) * exp(Float64(10.0 * Float64(x * x)))) end
function tmp = code(x) tmp = cos(x) * exp((10.0 * (x * x))); end
code[x_] := N[(N[Cos[x], $MachinePrecision] * N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\cos x \cdot e^{10 \cdot \left(x \cdot x\right)}
\end{array}
(FPCore (x) :precision binary64 (* (cos x) (exp (* 10.0 (* x x)))))
double code(double x) {
return cos(x) * exp((10.0 * (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = cos(x) * exp((10.0d0 * (x * x)))
end function
public static double code(double x) {
return Math.cos(x) * Math.exp((10.0 * (x * x)));
}
def code(x): return math.cos(x) * math.exp((10.0 * (x * x)))
function code(x) return Float64(cos(x) * exp(Float64(10.0 * Float64(x * x)))) end
function tmp = code(x) tmp = cos(x) * exp((10.0 * (x * x))); end
code[x_] := N[(N[Cos[x], $MachinePrecision] * N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\cos x \cdot e^{10 \cdot \left(x \cdot x\right)}
\end{array}
Initial program 94.5%
(FPCore (x)
:precision binary64
(let* ((t_0 (* (* x x) (* x x))))
(*
(*
(+
(*
(* x (* x (* x x)))
(-
(*
(* x x)
(*
t_0
(-
(+ 0.00011574074074074075 (/ 0.041666666666666664 t_0))
(/ 0.003125 (* x x)))))
0.25))
1.0)
(/
1.0
(-
1.0
(*
x
(*
x
(+
-0.5
(*
x
(*
x
(+ 0.041666666666666664 (* (* x x) -0.001388888888888889))))))))))
(exp (* x (* x 10.0))))))
double code(double x) {
double t_0 = (x * x) * (x * x);
return ((((x * (x * (x * x))) * (((x * x) * (t_0 * ((0.00011574074074074075 + (0.041666666666666664 / t_0)) - (0.003125 / (x * x))))) - 0.25)) + 1.0) * (1.0 / (1.0 - (x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))))))) * exp((x * (x * 10.0)));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = (x * x) * (x * x)
code = ((((x * (x * (x * x))) * (((x * x) * (t_0 * ((0.00011574074074074075d0 + (0.041666666666666664d0 / t_0)) - (0.003125d0 / (x * x))))) - 0.25d0)) + 1.0d0) * (1.0d0 / (1.0d0 - (x * (x * ((-0.5d0) + (x * (x * (0.041666666666666664d0 + ((x * x) * (-0.001388888888888889d0))))))))))) * exp((x * (x * 10.0d0)))
end function
public static double code(double x) {
double t_0 = (x * x) * (x * x);
return ((((x * (x * (x * x))) * (((x * x) * (t_0 * ((0.00011574074074074075 + (0.041666666666666664 / t_0)) - (0.003125 / (x * x))))) - 0.25)) + 1.0) * (1.0 / (1.0 - (x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))))))) * Math.exp((x * (x * 10.0)));
}
def code(x): t_0 = (x * x) * (x * x) return ((((x * (x * (x * x))) * (((x * x) * (t_0 * ((0.00011574074074074075 + (0.041666666666666664 / t_0)) - (0.003125 / (x * x))))) - 0.25)) + 1.0) * (1.0 / (1.0 - (x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))))))) * math.exp((x * (x * 10.0)))
function code(x) t_0 = Float64(Float64(x * x) * Float64(x * x)) return Float64(Float64(Float64(Float64(Float64(x * Float64(x * Float64(x * x))) * Float64(Float64(Float64(x * x) * Float64(t_0 * Float64(Float64(0.00011574074074074075 + Float64(0.041666666666666664 / t_0)) - Float64(0.003125 / Float64(x * x))))) - 0.25)) + 1.0) * Float64(1.0 / Float64(1.0 - Float64(x * Float64(x * Float64(-0.5 + Float64(x * Float64(x * Float64(0.041666666666666664 + Float64(Float64(x * x) * -0.001388888888888889)))))))))) * exp(Float64(x * Float64(x * 10.0)))) end
function tmp = code(x) t_0 = (x * x) * (x * x); tmp = ((((x * (x * (x * x))) * (((x * x) * (t_0 * ((0.00011574074074074075 + (0.041666666666666664 / t_0)) - (0.003125 / (x * x))))) - 0.25)) + 1.0) * (1.0 / (1.0 - (x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))))))) * exp((x * (x * 10.0))); end
code[x_] := Block[{t$95$0 = N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(t$95$0 * N[(N[(0.00011574074074074075 + N[(0.041666666666666664 / t$95$0), $MachinePrecision]), $MachinePrecision] - N[(0.003125 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.25), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(1.0 / N[(1.0 - N[(x * N[(x * N[(-0.5 + N[(x * N[(x * N[(0.041666666666666664 + N[(N[(x * x), $MachinePrecision] * -0.001388888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := \left(x \cdot x\right) \cdot \left(x \cdot x\right)\\
\left(\left(\left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(\left(x \cdot x\right) \cdot \left(t\_0 \cdot \left(\left(0.00011574074074074075 + \frac{0.041666666666666664}{t\_0}\right) - \frac{0.003125}{x \cdot x}\right)\right) - 0.25\right) + 1\right) \cdot \frac{1}{1 - x \cdot \left(x \cdot \left(-0.5 + x \cdot \left(x \cdot \left(0.041666666666666664 + \left(x \cdot x\right) \cdot -0.001388888888888889\right)\right)\right)\right)}\right) \cdot e^{x \cdot \left(x \cdot 10\right)}
\end{array}
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.5%
Simplified27.5%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr27.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified29.3%
Taylor expanded in x around inf
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
associate-*r/N/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
/-lowering-/.f64N/A
metadata-evalN/A
pow-sqrN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6429.3%
Simplified29.3%
Final simplification29.3%
(FPCore (x)
:precision binary64
(*
(exp (* x (* x 10.0)))
(/
(-
1.0
(*
x
(*
x
(*
(* x x)
(+
(*
(* x x)
(+
(* (* x x) (+ (* (* x x) -0.00011574074074074075) 0.003125))
-0.041666666666666664))
0.25)))))
(-
1.0
(*
(* x x)
(+
-0.5
(*
(* x x)
(+ 0.041666666666666664 (* (* x x) -0.001388888888888889)))))))))
double code(double x) {
return exp((x * (x * 10.0))) * ((1.0 - (x * (x * ((x * x) * (((x * x) * (((x * x) * (((x * x) * -0.00011574074074074075) + 0.003125)) + -0.041666666666666664)) + 0.25))))) / (1.0 - ((x * x) * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((x * (x * 10.0d0))) * ((1.0d0 - (x * (x * ((x * x) * (((x * x) * (((x * x) * (((x * x) * (-0.00011574074074074075d0)) + 0.003125d0)) + (-0.041666666666666664d0))) + 0.25d0))))) / (1.0d0 - ((x * x) * ((-0.5d0) + ((x * x) * (0.041666666666666664d0 + ((x * x) * (-0.001388888888888889d0))))))))
end function
public static double code(double x) {
return Math.exp((x * (x * 10.0))) * ((1.0 - (x * (x * ((x * x) * (((x * x) * (((x * x) * (((x * x) * -0.00011574074074074075) + 0.003125)) + -0.041666666666666664)) + 0.25))))) / (1.0 - ((x * x) * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))));
}
def code(x): return math.exp((x * (x * 10.0))) * ((1.0 - (x * (x * ((x * x) * (((x * x) * (((x * x) * (((x * x) * -0.00011574074074074075) + 0.003125)) + -0.041666666666666664)) + 0.25))))) / (1.0 - ((x * x) * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))))
function code(x) return Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(1.0 - Float64(x * Float64(x * Float64(Float64(x * x) * Float64(Float64(Float64(x * x) * Float64(Float64(Float64(x * x) * Float64(Float64(Float64(x * x) * -0.00011574074074074075) + 0.003125)) + -0.041666666666666664)) + 0.25))))) / Float64(1.0 - Float64(Float64(x * x) * Float64(-0.5 + Float64(Float64(x * x) * Float64(0.041666666666666664 + Float64(Float64(x * x) * -0.001388888888888889)))))))) end
function tmp = code(x) tmp = exp((x * (x * 10.0))) * ((1.0 - (x * (x * ((x * x) * (((x * x) * (((x * x) * (((x * x) * -0.00011574074074074075) + 0.003125)) + -0.041666666666666664)) + 0.25))))) / (1.0 - ((x * x) * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889))))))); end
code[x_] := N[(N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 - N[(x * N[(x * N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * -0.00011574074074074075), $MachinePrecision] + 0.003125), $MachinePrecision]), $MachinePrecision] + -0.041666666666666664), $MachinePrecision]), $MachinePrecision] + 0.25), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * N[(-0.5 + N[(N[(x * x), $MachinePrecision] * N[(0.041666666666666664 + N[(N[(x * x), $MachinePrecision] * -0.001388888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{x \cdot \left(x \cdot 10\right)} \cdot \frac{1 - x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot -0.00011574074074074075 + 0.003125\right) + -0.041666666666666664\right) + 0.25\right)\right)\right)}{1 - \left(x \cdot x\right) \cdot \left(-0.5 + \left(x \cdot x\right) \cdot \left(0.041666666666666664 + \left(x \cdot x\right) \cdot -0.001388888888888889\right)\right)}
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.5%
Simplified27.5%
flip-+N/A
div-invN/A
*-lowering-*.f64N/A
Applied egg-rr27.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
metadata-evalN/A
pow-sqrN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
Simplified29.3%
Applied egg-rr29.3%
Final simplification29.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x x))) (t_1 (* (* x x) -0.001388888888888889)))
(*
(exp (* x (* x 10.0)))
(+
(+ (* x (* x -0.5)) 1.0)
(*
(* (* x x) (* x x))
(*
(+ 7.233796296296296e-5 (* t_0 (* t_0 2.6791838134430728e-9)))
(/
-1.0
(- (* t_1 (- 0.041666666666666664 t_1)) 0.001736111111111111))))))))
double code(double x) {
double t_0 = x * (x * x);
double t_1 = (x * x) * -0.001388888888888889;
return exp((x * (x * 10.0))) * (((x * (x * -0.5)) + 1.0) + (((x * x) * (x * x)) * ((7.233796296296296e-5 + (t_0 * (t_0 * 2.6791838134430728e-9))) * (-1.0 / ((t_1 * (0.041666666666666664 - t_1)) - 0.001736111111111111)))));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
t_0 = x * (x * x)
t_1 = (x * x) * (-0.001388888888888889d0)
code = exp((x * (x * 10.0d0))) * (((x * (x * (-0.5d0))) + 1.0d0) + (((x * x) * (x * x)) * ((7.233796296296296d-5 + (t_0 * (t_0 * 2.6791838134430728d-9))) * ((-1.0d0) / ((t_1 * (0.041666666666666664d0 - t_1)) - 0.001736111111111111d0)))))
end function
public static double code(double x) {
double t_0 = x * (x * x);
double t_1 = (x * x) * -0.001388888888888889;
return Math.exp((x * (x * 10.0))) * (((x * (x * -0.5)) + 1.0) + (((x * x) * (x * x)) * ((7.233796296296296e-5 + (t_0 * (t_0 * 2.6791838134430728e-9))) * (-1.0 / ((t_1 * (0.041666666666666664 - t_1)) - 0.001736111111111111)))));
}
def code(x): t_0 = x * (x * x) t_1 = (x * x) * -0.001388888888888889 return math.exp((x * (x * 10.0))) * (((x * (x * -0.5)) + 1.0) + (((x * x) * (x * x)) * ((7.233796296296296e-5 + (t_0 * (t_0 * 2.6791838134430728e-9))) * (-1.0 / ((t_1 * (0.041666666666666664 - t_1)) - 0.001736111111111111)))))
function code(x) t_0 = Float64(x * Float64(x * x)) t_1 = Float64(Float64(x * x) * -0.001388888888888889) return Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(Float64(x * Float64(x * -0.5)) + 1.0) + Float64(Float64(Float64(x * x) * Float64(x * x)) * Float64(Float64(7.233796296296296e-5 + Float64(t_0 * Float64(t_0 * 2.6791838134430728e-9))) * Float64(-1.0 / Float64(Float64(t_1 * Float64(0.041666666666666664 - t_1)) - 0.001736111111111111)))))) end
function tmp = code(x) t_0 = x * (x * x); t_1 = (x * x) * -0.001388888888888889; tmp = exp((x * (x * 10.0))) * (((x * (x * -0.5)) + 1.0) + (((x * x) * (x * x)) * ((7.233796296296296e-5 + (t_0 * (t_0 * 2.6791838134430728e-9))) * (-1.0 / ((t_1 * (0.041666666666666664 - t_1)) - 0.001736111111111111))))); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * -0.001388888888888889), $MachinePrecision]}, N[(N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(x * N[(x * -0.5), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] * N[(N[(7.233796296296296e-5 + N[(t$95$0 * N[(t$95$0 * 2.6791838134430728e-9), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(-1.0 / N[(N[(t$95$1 * N[(0.041666666666666664 - t$95$1), $MachinePrecision]), $MachinePrecision] - 0.001736111111111111), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot x\right)\\
t_1 := \left(x \cdot x\right) \cdot -0.001388888888888889\\
e^{x \cdot \left(x \cdot 10\right)} \cdot \left(\left(x \cdot \left(x \cdot -0.5\right) + 1\right) + \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \left(\left(7.233796296296296 \cdot 10^{-5} + t\_0 \cdot \left(t\_0 \cdot 2.6791838134430728 \cdot 10^{-9}\right)\right) \cdot \frac{-1}{t\_1 \cdot \left(0.041666666666666664 - t\_1\right) - 0.001736111111111111}\right)\right)
\end{array}
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.5%
Simplified27.5%
distribute-lft-inN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6427.5%
Applied egg-rr27.5%
flip3-+N/A
div-invN/A
sqr-powN/A
pow-prod-downN/A
swap-sqrN/A
metadata-evalN/A
*-commutativeN/A
metadata-evalN/A
swap-sqrN/A
pow-prod-downN/A
sqr-powN/A
*-lowering-*.f64N/A
Applied egg-rr28.9%
Final simplification28.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x x))) (t_1 (* (* x x) -0.001388888888888889)))
(*
(exp (* x (* x 10.0)))
(+
(+ (* x (* x -0.5)) 1.0)
(*
(* (* x x) (* x x))
(/
(+ 7.233796296296296e-5 (* t_0 (* t_0 2.6791838134430728e-9)))
(+ 0.001736111111111111 (* t_1 (- t_1 0.041666666666666664)))))))))
double code(double x) {
double t_0 = x * (x * x);
double t_1 = (x * x) * -0.001388888888888889;
return exp((x * (x * 10.0))) * (((x * (x * -0.5)) + 1.0) + (((x * x) * (x * x)) * ((7.233796296296296e-5 + (t_0 * (t_0 * 2.6791838134430728e-9))) / (0.001736111111111111 + (t_1 * (t_1 - 0.041666666666666664))))));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
t_0 = x * (x * x)
t_1 = (x * x) * (-0.001388888888888889d0)
code = exp((x * (x * 10.0d0))) * (((x * (x * (-0.5d0))) + 1.0d0) + (((x * x) * (x * x)) * ((7.233796296296296d-5 + (t_0 * (t_0 * 2.6791838134430728d-9))) / (0.001736111111111111d0 + (t_1 * (t_1 - 0.041666666666666664d0))))))
end function
public static double code(double x) {
double t_0 = x * (x * x);
double t_1 = (x * x) * -0.001388888888888889;
return Math.exp((x * (x * 10.0))) * (((x * (x * -0.5)) + 1.0) + (((x * x) * (x * x)) * ((7.233796296296296e-5 + (t_0 * (t_0 * 2.6791838134430728e-9))) / (0.001736111111111111 + (t_1 * (t_1 - 0.041666666666666664))))));
}
def code(x): t_0 = x * (x * x) t_1 = (x * x) * -0.001388888888888889 return math.exp((x * (x * 10.0))) * (((x * (x * -0.5)) + 1.0) + (((x * x) * (x * x)) * ((7.233796296296296e-5 + (t_0 * (t_0 * 2.6791838134430728e-9))) / (0.001736111111111111 + (t_1 * (t_1 - 0.041666666666666664))))))
function code(x) t_0 = Float64(x * Float64(x * x)) t_1 = Float64(Float64(x * x) * -0.001388888888888889) return Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(Float64(x * Float64(x * -0.5)) + 1.0) + Float64(Float64(Float64(x * x) * Float64(x * x)) * Float64(Float64(7.233796296296296e-5 + Float64(t_0 * Float64(t_0 * 2.6791838134430728e-9))) / Float64(0.001736111111111111 + Float64(t_1 * Float64(t_1 - 0.041666666666666664))))))) end
function tmp = code(x) t_0 = x * (x * x); t_1 = (x * x) * -0.001388888888888889; tmp = exp((x * (x * 10.0))) * (((x * (x * -0.5)) + 1.0) + (((x * x) * (x * x)) * ((7.233796296296296e-5 + (t_0 * (t_0 * 2.6791838134430728e-9))) / (0.001736111111111111 + (t_1 * (t_1 - 0.041666666666666664)))))); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * -0.001388888888888889), $MachinePrecision]}, N[(N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(x * N[(x * -0.5), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] + N[(N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] * N[(N[(7.233796296296296e-5 + N[(t$95$0 * N[(t$95$0 * 2.6791838134430728e-9), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(0.001736111111111111 + N[(t$95$1 * N[(t$95$1 - 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot x\right)\\
t_1 := \left(x \cdot x\right) \cdot -0.001388888888888889\\
e^{x \cdot \left(x \cdot 10\right)} \cdot \left(\left(x \cdot \left(x \cdot -0.5\right) + 1\right) + \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot \frac{7.233796296296296 \cdot 10^{-5} + t\_0 \cdot \left(t\_0 \cdot 2.6791838134430728 \cdot 10^{-9}\right)}{0.001736111111111111 + t\_1 \cdot \left(t\_1 - 0.041666666666666664\right)}\right)
\end{array}
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.5%
Simplified27.5%
distribute-lft-inN/A
associate-+r+N/A
+-lowering-+.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6427.5%
Applied egg-rr27.5%
flip3-+N/A
sqr-powN/A
pow-prod-downN/A
swap-sqrN/A
metadata-evalN/A
*-commutativeN/A
metadata-evalN/A
swap-sqrN/A
pow-prod-downN/A
sqr-powN/A
/-lowering-/.f64N/A
Applied egg-rr28.9%
Final simplification28.9%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x x)))))
(*
(exp (* x (* x 10.0)))
(+
(*
(* (* x x) t_0)
(+
-0.001388888888888889
(+ (/ 0.041666666666666664 (* x x)) (/ -0.5 t_0))))
1.0))))
double code(double x) {
double t_0 = x * (x * (x * x));
return exp((x * (x * 10.0))) * ((((x * x) * t_0) * (-0.001388888888888889 + ((0.041666666666666664 / (x * x)) + (-0.5 / t_0)))) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
t_0 = x * (x * (x * x))
code = exp((x * (x * 10.0d0))) * ((((x * x) * t_0) * ((-0.001388888888888889d0) + ((0.041666666666666664d0 / (x * x)) + ((-0.5d0) / t_0)))) + 1.0d0)
end function
public static double code(double x) {
double t_0 = x * (x * (x * x));
return Math.exp((x * (x * 10.0))) * ((((x * x) * t_0) * (-0.001388888888888889 + ((0.041666666666666664 / (x * x)) + (-0.5 / t_0)))) + 1.0);
}
def code(x): t_0 = x * (x * (x * x)) return math.exp((x * (x * 10.0))) * ((((x * x) * t_0) * (-0.001388888888888889 + ((0.041666666666666664 / (x * x)) + (-0.5 / t_0)))) + 1.0)
function code(x) t_0 = Float64(x * Float64(x * Float64(x * x))) return Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(Float64(Float64(x * x) * t_0) * Float64(-0.001388888888888889 + Float64(Float64(0.041666666666666664 / Float64(x * x)) + Float64(-0.5 / t_0)))) + 1.0)) end
function tmp = code(x) t_0 = x * (x * (x * x)); tmp = exp((x * (x * 10.0))) * ((((x * x) * t_0) * (-0.001388888888888889 + ((0.041666666666666664 / (x * x)) + (-0.5 / t_0)))) + 1.0); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(N[(x * x), $MachinePrecision] * t$95$0), $MachinePrecision] * N[(-0.001388888888888889 + N[(N[(0.041666666666666664 / N[(x * x), $MachinePrecision]), $MachinePrecision] + N[(-0.5 / t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
e^{x \cdot \left(x \cdot 10\right)} \cdot \left(\left(\left(x \cdot x\right) \cdot t\_0\right) \cdot \left(-0.001388888888888889 + \left(\frac{0.041666666666666664}{x \cdot x} + \frac{-0.5}{t\_0}\right)\right) + 1\right)
\end{array}
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.5%
Simplified27.5%
Taylor expanded in x around inf
+-commutativeN/A
associate--l+N/A
distribute-lft-inN/A
rgt-mult-inverseN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
Simplified27.5%
Final simplification27.5%
(FPCore (x)
:precision binary64
(*
(exp (* x (* x 10.0)))
(+
(*
(* x x)
(+
-0.5
(*
(* x x)
(/
(- (* (* (* x x) (* x x)) 1.9290123456790124e-6) 0.001736111111111111)
(- (* (* x x) -0.001388888888888889) 0.041666666666666664)))))
1.0)))
double code(double x) {
return exp((x * (x * 10.0))) * (((x * x) * (-0.5 + ((x * x) * (((((x * x) * (x * x)) * 1.9290123456790124e-6) - 0.001736111111111111) / (((x * x) * -0.001388888888888889) - 0.041666666666666664))))) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((x * (x * 10.0d0))) * (((x * x) * ((-0.5d0) + ((x * x) * (((((x * x) * (x * x)) * 1.9290123456790124d-6) - 0.001736111111111111d0) / (((x * x) * (-0.001388888888888889d0)) - 0.041666666666666664d0))))) + 1.0d0)
end function
public static double code(double x) {
return Math.exp((x * (x * 10.0))) * (((x * x) * (-0.5 + ((x * x) * (((((x * x) * (x * x)) * 1.9290123456790124e-6) - 0.001736111111111111) / (((x * x) * -0.001388888888888889) - 0.041666666666666664))))) + 1.0);
}
def code(x): return math.exp((x * (x * 10.0))) * (((x * x) * (-0.5 + ((x * x) * (((((x * x) * (x * x)) * 1.9290123456790124e-6) - 0.001736111111111111) / (((x * x) * -0.001388888888888889) - 0.041666666666666664))))) + 1.0)
function code(x) return Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(Float64(x * x) * Float64(-0.5 + Float64(Float64(x * x) * Float64(Float64(Float64(Float64(Float64(x * x) * Float64(x * x)) * 1.9290123456790124e-6) - 0.001736111111111111) / Float64(Float64(Float64(x * x) * -0.001388888888888889) - 0.041666666666666664))))) + 1.0)) end
function tmp = code(x) tmp = exp((x * (x * 10.0))) * (((x * x) * (-0.5 + ((x * x) * (((((x * x) * (x * x)) * 1.9290123456790124e-6) - 0.001736111111111111) / (((x * x) * -0.001388888888888889) - 0.041666666666666664))))) + 1.0); end
code[x_] := N[(N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(-0.5 + N[(N[(x * x), $MachinePrecision] * N[(N[(N[(N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision] * 1.9290123456790124e-6), $MachinePrecision] - 0.001736111111111111), $MachinePrecision] / N[(N[(N[(x * x), $MachinePrecision] * -0.001388888888888889), $MachinePrecision] - 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{x \cdot \left(x \cdot 10\right)} \cdot \left(\left(x \cdot x\right) \cdot \left(-0.5 + \left(x \cdot x\right) \cdot \frac{\left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right) \cdot 1.9290123456790124 \cdot 10^{-6} - 0.001736111111111111}{\left(x \cdot x\right) \cdot -0.001388888888888889 - 0.041666666666666664}\right) + 1\right)
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.5%
Simplified27.5%
+-commutativeN/A
flip-+N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
swap-sqrN/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
metadata-evalN/A
metadata-evalN/A
--lowering--.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6427.5%
Applied egg-rr27.5%
Final simplification27.5%
(FPCore (x)
:precision binary64
(*
(+
(*
x
(*
x
(+
-0.5
(* x (* x (+ 0.041666666666666664 (* (* x x) -0.001388888888888889)))))))
1.0)
(exp (* 10.0 (* x x)))))
double code(double x) {
return ((x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * -0.001388888888888889))))))) + 1.0) * exp((10.0 * (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = ((x * (x * ((-0.5d0) + (x * (x * (0.041666666666666664d0 + ((x * x) * (-0.001388888888888889d0)))))))) + 1.0d0) * exp((10.0d0 * (x * x)))
end function
public static double code(double x) {
return ((x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * -0.001388888888888889))))))) + 1.0) * Math.exp((10.0 * (x * x)));
}
def code(x): return ((x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * -0.001388888888888889))))))) + 1.0) * math.exp((10.0 * (x * x)))
function code(x) return Float64(Float64(Float64(x * Float64(x * Float64(-0.5 + Float64(x * Float64(x * Float64(0.041666666666666664 + Float64(Float64(x * x) * -0.001388888888888889))))))) + 1.0) * exp(Float64(10.0 * Float64(x * x)))) end
function tmp = code(x) tmp = ((x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * -0.001388888888888889))))))) + 1.0) * exp((10.0 * (x * x))); end
code[x_] := N[(N[(N[(x * N[(x * N[(-0.5 + N[(x * N[(x * N[(0.041666666666666664 + N[(N[(x * x), $MachinePrecision] * -0.001388888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot \left(x \cdot \left(-0.5 + x \cdot \left(x \cdot \left(0.041666666666666664 + \left(x \cdot x\right) \cdot -0.001388888888888889\right)\right)\right)\right) + 1\right) \cdot e^{10 \cdot \left(x \cdot x\right)}
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6427.5%
Simplified27.5%
*-lowering-*.f64N/A
Applied egg-rr27.5%
Final simplification27.5%
(FPCore (x) :precision binary64 (* (exp (* 10.0 (* x x))) (+ (* x (* x (+ -0.5 (* (* x x) 0.041666666666666664)))) 1.0)))
double code(double x) {
return exp((10.0 * (x * x))) * ((x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((10.0d0 * (x * x))) * ((x * (x * ((-0.5d0) + ((x * x) * 0.041666666666666664d0)))) + 1.0d0)
end function
public static double code(double x) {
return Math.exp((10.0 * (x * x))) * ((x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))) + 1.0);
}
def code(x): return math.exp((10.0 * (x * x))) * ((x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))) + 1.0)
function code(x) return Float64(exp(Float64(10.0 * Float64(x * x))) * Float64(Float64(x * Float64(x * Float64(-0.5 + Float64(Float64(x * x) * 0.041666666666666664)))) + 1.0)) end
function tmp = code(x) tmp = exp((10.0 * (x * x))) * ((x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))) + 1.0); end
code[x_] := N[(N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(x * N[(x * N[(-0.5 + N[(N[(x * x), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{10 \cdot \left(x \cdot x\right)} \cdot \left(x \cdot \left(x \cdot \left(-0.5 + \left(x \cdot x\right) \cdot 0.041666666666666664\right)\right) + 1\right)
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6421.3%
Simplified21.3%
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f6421.3%
Applied egg-rr21.3%
Final simplification21.3%
(FPCore (x) :precision binary64 (* (exp (* 10.0 (* x x))) (+ (* (* x x) -0.5) 1.0)))
double code(double x) {
return exp((10.0 * (x * x))) * (((x * x) * -0.5) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((10.0d0 * (x * x))) * (((x * x) * (-0.5d0)) + 1.0d0)
end function
public static double code(double x) {
return Math.exp((10.0 * (x * x))) * (((x * x) * -0.5) + 1.0);
}
def code(x): return math.exp((10.0 * (x * x))) * (((x * x) * -0.5) + 1.0)
function code(x) return Float64(exp(Float64(10.0 * Float64(x * x))) * Float64(Float64(Float64(x * x) * -0.5) + 1.0)) end
function tmp = code(x) tmp = exp((10.0 * (x * x))) * (((x * x) * -0.5) + 1.0); end
code[x_] := N[(N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * -0.5), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{10 \cdot \left(x \cdot x\right)} \cdot \left(\left(x \cdot x\right) \cdot -0.5 + 1\right)
\end{array}
Initial program 94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.2%
Simplified18.2%
Final simplification18.2%
(FPCore (x) :precision binary64 (* (exp (* 10.0 (* x x))) (* (* x x) -0.5)))
double code(double x) {
return exp((10.0 * (x * x))) * ((x * x) * -0.5);
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((10.0d0 * (x * x))) * ((x * x) * (-0.5d0))
end function
public static double code(double x) {
return Math.exp((10.0 * (x * x))) * ((x * x) * -0.5);
}
def code(x): return math.exp((10.0 * (x * x))) * ((x * x) * -0.5)
function code(x) return Float64(exp(Float64(10.0 * Float64(x * x))) * Float64(Float64(x * x) * -0.5)) end
function tmp = code(x) tmp = exp((10.0 * (x * x))) * ((x * x) * -0.5); end
code[x_] := N[(N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{10 \cdot \left(x \cdot x\right)} \cdot \left(\left(x \cdot x\right) \cdot -0.5\right)
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.2%
Simplified18.2%
Taylor expanded in x around inf
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
exp-lowering-exp.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6416.9%
Simplified16.9%
Final simplification16.9%
(FPCore (x) :precision binary64 (* (+ (* (* x x) -0.5) 1.0) (+ (* (* x x) (+ 10.0 (* (* x x) (+ 50.0 (* (* x x) 166.66666666666666))))) 1.0)))
double code(double x) {
return (((x * x) * -0.5) + 1.0) * (((x * x) * (10.0 + ((x * x) * (50.0 + ((x * x) * 166.66666666666666))))) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (((x * x) * (-0.5d0)) + 1.0d0) * (((x * x) * (10.0d0 + ((x * x) * (50.0d0 + ((x * x) * 166.66666666666666d0))))) + 1.0d0)
end function
public static double code(double x) {
return (((x * x) * -0.5) + 1.0) * (((x * x) * (10.0 + ((x * x) * (50.0 + ((x * x) * 166.66666666666666))))) + 1.0);
}
def code(x): return (((x * x) * -0.5) + 1.0) * (((x * x) * (10.0 + ((x * x) * (50.0 + ((x * x) * 166.66666666666666))))) + 1.0)
function code(x) return Float64(Float64(Float64(Float64(x * x) * -0.5) + 1.0) * Float64(Float64(Float64(x * x) * Float64(10.0 + Float64(Float64(x * x) * Float64(50.0 + Float64(Float64(x * x) * 166.66666666666666))))) + 1.0)) end
function tmp = code(x) tmp = (((x * x) * -0.5) + 1.0) * (((x * x) * (10.0 + ((x * x) * (50.0 + ((x * x) * 166.66666666666666))))) + 1.0); end
code[x_] := N[(N[(N[(N[(x * x), $MachinePrecision] * -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(10.0 + N[(N[(x * x), $MachinePrecision] * N[(50.0 + N[(N[(x * x), $MachinePrecision] * 166.66666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(x \cdot x\right) \cdot -0.5 + 1\right) \cdot \left(\left(x \cdot x\right) \cdot \left(10 + \left(x \cdot x\right) \cdot \left(50 + \left(x \cdot x\right) \cdot 166.66666666666666\right)\right) + 1\right)
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.2%
Simplified18.2%
Taylor expanded in x 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-*.f6410.3%
Simplified10.3%
Final simplification10.3%
(FPCore (x) :precision binary64 (* (+ (* (* x x) -0.5) 1.0) (+ (* (* x x) (+ 10.0 (* (* x x) 50.0))) 1.0)))
double code(double x) {
return (((x * x) * -0.5) + 1.0) * (((x * x) * (10.0 + ((x * x) * 50.0))) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (((x * x) * (-0.5d0)) + 1.0d0) * (((x * x) * (10.0d0 + ((x * x) * 50.0d0))) + 1.0d0)
end function
public static double code(double x) {
return (((x * x) * -0.5) + 1.0) * (((x * x) * (10.0 + ((x * x) * 50.0))) + 1.0);
}
def code(x): return (((x * x) * -0.5) + 1.0) * (((x * x) * (10.0 + ((x * x) * 50.0))) + 1.0)
function code(x) return Float64(Float64(Float64(Float64(x * x) * -0.5) + 1.0) * Float64(Float64(Float64(x * x) * Float64(10.0 + Float64(Float64(x * x) * 50.0))) + 1.0)) end
function tmp = code(x) tmp = (((x * x) * -0.5) + 1.0) * (((x * x) * (10.0 + ((x * x) * 50.0))) + 1.0); end
code[x_] := N[(N[(N[(N[(x * x), $MachinePrecision] * -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * N[(10.0 + N[(N[(x * x), $MachinePrecision] * 50.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(x \cdot x\right) \cdot -0.5 + 1\right) \cdot \left(\left(x \cdot x\right) \cdot \left(10 + \left(x \cdot x\right) \cdot 50\right) + 1\right)
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.2%
Simplified18.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6410.1%
Simplified10.1%
Final simplification10.1%
(FPCore (x) :precision binary64 (* (+ (* (* x x) -0.5) 1.0) (+ (* x (* x 10.0)) 1.0)))
double code(double x) {
return (((x * x) * -0.5) + 1.0) * ((x * (x * 10.0)) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (((x * x) * (-0.5d0)) + 1.0d0) * ((x * (x * 10.0d0)) + 1.0d0)
end function
public static double code(double x) {
return (((x * x) * -0.5) + 1.0) * ((x * (x * 10.0)) + 1.0);
}
def code(x): return (((x * x) * -0.5) + 1.0) * ((x * (x * 10.0)) + 1.0)
function code(x) return Float64(Float64(Float64(Float64(x * x) * -0.5) + 1.0) * Float64(Float64(x * Float64(x * 10.0)) + 1.0)) end
function tmp = code(x) tmp = (((x * x) * -0.5) + 1.0) * ((x * (x * 10.0)) + 1.0); end
code[x_] := N[(N[(N[(N[(x * x), $MachinePrecision] * -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * N[(N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(x \cdot x\right) \cdot -0.5 + 1\right) \cdot \left(x \cdot \left(x \cdot 10\right) + 1\right)
\end{array}
Initial program 94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f649.8%
Simplified9.8%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f649.9%
Simplified9.9%
Final simplification9.9%
(FPCore (x) :precision binary64 (+ (* (* x x) (+ 9.5 (* x (* x -4.958333333333333)))) 1.0))
double code(double x) {
return ((x * x) * (9.5 + (x * (x * -4.958333333333333)))) + 1.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = ((x * x) * (9.5d0 + (x * (x * (-4.958333333333333d0))))) + 1.0d0
end function
public static double code(double x) {
return ((x * x) * (9.5 + (x * (x * -4.958333333333333)))) + 1.0;
}
def code(x): return ((x * x) * (9.5 + (x * (x * -4.958333333333333)))) + 1.0
function code(x) return Float64(Float64(Float64(x * x) * Float64(9.5 + Float64(x * Float64(x * -4.958333333333333)))) + 1.0) end
function tmp = code(x) tmp = ((x * x) * (9.5 + (x * (x * -4.958333333333333)))) + 1.0; end
code[x_] := N[(N[(N[(x * x), $MachinePrecision] * N[(9.5 + N[(x * N[(x * -4.958333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot x\right) \cdot \left(9.5 + x \cdot \left(x \cdot -4.958333333333333\right)\right) + 1
\end{array}
Initial program 94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f649.8%
Simplified9.8%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f649.9%
Simplified9.9%
Final simplification9.9%
(FPCore (x) :precision binary64 (* (* x x) -0.5))
double code(double x) {
return (x * x) * -0.5;
}
real(8) function code(x)
real(8), intent (in) :: x
code = (x * x) * (-0.5d0)
end function
public static double code(double x) {
return (x * x) * -0.5;
}
def code(x): return (x * x) * -0.5
function code(x) return Float64(Float64(x * x) * -0.5) end
function tmp = code(x) tmp = (x * x) * -0.5; end
code[x_] := N[(N[(x * x), $MachinePrecision] * -0.5), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot x\right) \cdot -0.5
\end{array}
Initial program 94.5%
*-lowering-*.f64N/A
cos-lowering-cos.f64N/A
exp-lowering-exp.f64N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6494.5%
Simplified94.5%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.2%
Simplified18.2%
Taylor expanded in x around 0
Simplified9.7%
Taylor expanded in x around inf
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f649.7%
Simplified9.7%
(FPCore (x) :precision binary64 1.0)
double code(double x) {
return 1.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0
end function
public static double code(double x) {
return 1.0;
}
def code(x): return 1.0
function code(x) return 1.0 end
function tmp = code(x) tmp = 1.0; end
code[x_] := 1.0
\begin{array}{l}
\\
1
\end{array}
Initial program 94.5%
Taylor expanded in x around 0
Simplified1.5%
herbie shell --seed 2024155
(FPCore (x)
:name "ENA, Section 1.4, Exercise 1"
:precision binary64
:pre (and (<= 1.99 x) (<= x 2.01))
(* (cos x) (exp (* 10.0 (* x x)))))