
(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 94.4%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.003125 (* (* x x) -0.00011574074074074075)))
(t_1 (* x (* x (* x x)))))
(/
(*
(+
(*
t_1
(-
(*
x
(*
x
(/
(- (* t_1 (* t_0 t_0)) 0.001736111111111111)
(- -0.041666666666666664 (* (* x x) t_0)))))
0.25))
1.0)
(exp (* x (* x 10.0))))
(-
1.0
(*
x
(*
x
(+
-0.5
(*
(* x x)
(+ 0.041666666666666664 (* (* x x) -0.001388888888888889))))))))))
double code(double x) {
double t_0 = 0.003125 + ((x * x) * -0.00011574074074074075);
double t_1 = x * (x * (x * x));
return (((t_1 * ((x * (x * (((t_1 * (t_0 * t_0)) - 0.001736111111111111) / (-0.041666666666666664 - ((x * x) * t_0))))) - 0.25)) + 1.0) * exp((x * (x * 10.0)))) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
t_0 = 0.003125d0 + ((x * x) * (-0.00011574074074074075d0))
t_1 = x * (x * (x * x))
code = (((t_1 * ((x * (x * (((t_1 * (t_0 * t_0)) - 0.001736111111111111d0) / ((-0.041666666666666664d0) - ((x * x) * t_0))))) - 0.25d0)) + 1.0d0) * exp((x * (x * 10.0d0)))) / (1.0d0 - (x * (x * ((-0.5d0) + ((x * x) * (0.041666666666666664d0 + ((x * x) * (-0.001388888888888889d0))))))))
end function
public static double code(double x) {
double t_0 = 0.003125 + ((x * x) * -0.00011574074074074075);
double t_1 = x * (x * (x * x));
return (((t_1 * ((x * (x * (((t_1 * (t_0 * t_0)) - 0.001736111111111111) / (-0.041666666666666664 - ((x * x) * t_0))))) - 0.25)) + 1.0) * Math.exp((x * (x * 10.0)))) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))));
}
def code(x): t_0 = 0.003125 + ((x * x) * -0.00011574074074074075) t_1 = x * (x * (x * x)) return (((t_1 * ((x * (x * (((t_1 * (t_0 * t_0)) - 0.001736111111111111) / (-0.041666666666666664 - ((x * x) * t_0))))) - 0.25)) + 1.0) * math.exp((x * (x * 10.0)))) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))))
function code(x) t_0 = Float64(0.003125 + Float64(Float64(x * x) * -0.00011574074074074075)) t_1 = Float64(x * Float64(x * Float64(x * x))) return Float64(Float64(Float64(Float64(t_1 * Float64(Float64(x * Float64(x * Float64(Float64(Float64(t_1 * Float64(t_0 * t_0)) - 0.001736111111111111) / Float64(-0.041666666666666664 - Float64(Float64(x * x) * t_0))))) - 0.25)) + 1.0) * exp(Float64(x * Float64(x * 10.0)))) / Float64(1.0 - Float64(x * Float64(x * Float64(-0.5 + Float64(Float64(x * x) * Float64(0.041666666666666664 + Float64(Float64(x * x) * -0.001388888888888889)))))))) end
function tmp = code(x) t_0 = 0.003125 + ((x * x) * -0.00011574074074074075); t_1 = x * (x * (x * x)); tmp = (((t_1 * ((x * (x * (((t_1 * (t_0 * t_0)) - 0.001736111111111111) / (-0.041666666666666664 - ((x * x) * t_0))))) - 0.25)) + 1.0) * exp((x * (x * 10.0)))) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889))))))); end
code[x_] := Block[{t$95$0 = N[(0.003125 + N[(N[(x * x), $MachinePrecision] * -0.00011574074074074075), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[(N[(t$95$1 * N[(N[(x * N[(x * N[(N[(N[(t$95$1 * N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] - 0.001736111111111111), $MachinePrecision] / N[(-0.041666666666666664 - N[(N[(x * x), $MachinePrecision] * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.25), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(x * N[(x * 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}
\\
\begin{array}{l}
t_0 := 0.003125 + \left(x \cdot x\right) \cdot -0.00011574074074074075\\
t_1 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\frac{\left(t\_1 \cdot \left(x \cdot \left(x \cdot \frac{t\_1 \cdot \left(t\_0 \cdot t\_0\right) - 0.001736111111111111}{-0.041666666666666664 - \left(x \cdot x\right) \cdot t\_0}\right) - 0.25\right) + 1\right) \cdot e^{x \cdot \left(x \cdot 10\right)}}{1 - x \cdot \left(x \cdot \left(-0.5 + \left(x \cdot x\right) \cdot \left(0.041666666666666664 + \left(x \cdot x\right) \cdot -0.001388888888888889\right)\right)\right)}
\end{array}
\end{array}
Initial program 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
Simplified27.5%
flip-+N/A
associate-*l/N/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
unpow2N/A
cube-multN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
Simplified29.3%
+-commutativeN/A
flip-+N/A
/-lowering-/.f64N/A
Applied egg-rr29.3%
Final simplification29.3%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x (* x x)))))
(/
(*
(exp (* x (* x 10.0)))
(+
(*
t_0
(-
(*
x
(*
x
(-
(*
(* x x)
(/
(- (* t_0 1.3395919067215363e-8) 9.765625e-6)
(- 0.003125 (* (* x x) -0.00011574074074074075))))
-0.041666666666666664)))
0.25))
1.0))
(-
1.0
(*
x
(*
x
(+
-0.5
(*
(* x x)
(+ 0.041666666666666664 (* (* x x) -0.001388888888888889))))))))))
double code(double x) {
double t_0 = x * (x * (x * x));
return (exp((x * (x * 10.0))) * ((t_0 * ((x * (x * (((x * x) * (((t_0 * 1.3395919067215363e-8) - 9.765625e-6) / (0.003125 - ((x * x) * -0.00011574074074074075)))) - -0.041666666666666664))) - 0.25)) + 1.0)) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))));
}
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))) * ((t_0 * ((x * (x * (((x * x) * (((t_0 * 1.3395919067215363d-8) - 9.765625d-6) / (0.003125d0 - ((x * x) * (-0.00011574074074074075d0))))) - (-0.041666666666666664d0)))) - 0.25d0)) + 1.0d0)) / (1.0d0 - (x * (x * ((-0.5d0) + ((x * x) * (0.041666666666666664d0 + ((x * x) * (-0.001388888888888889d0))))))))
end function
public static double code(double x) {
double t_0 = x * (x * (x * x));
return (Math.exp((x * (x * 10.0))) * ((t_0 * ((x * (x * (((x * x) * (((t_0 * 1.3395919067215363e-8) - 9.765625e-6) / (0.003125 - ((x * x) * -0.00011574074074074075)))) - -0.041666666666666664))) - 0.25)) + 1.0)) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))));
}
def code(x): t_0 = x * (x * (x * x)) return (math.exp((x * (x * 10.0))) * ((t_0 * ((x * (x * (((x * x) * (((t_0 * 1.3395919067215363e-8) - 9.765625e-6) / (0.003125 - ((x * x) * -0.00011574074074074075)))) - -0.041666666666666664))) - 0.25)) + 1.0)) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))))
function code(x) t_0 = Float64(x * Float64(x * Float64(x * x))) return Float64(Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(t_0 * Float64(Float64(x * Float64(x * Float64(Float64(Float64(x * x) * Float64(Float64(Float64(t_0 * 1.3395919067215363e-8) - 9.765625e-6) / Float64(0.003125 - Float64(Float64(x * x) * -0.00011574074074074075)))) - -0.041666666666666664))) - 0.25)) + 1.0)) / Float64(1.0 - Float64(x * Float64(x * Float64(-0.5 + Float64(Float64(x * x) * Float64(0.041666666666666664 + Float64(Float64(x * x) * -0.001388888888888889)))))))) end
function tmp = code(x) t_0 = x * (x * (x * x)); tmp = (exp((x * (x * 10.0))) * ((t_0 * ((x * (x * (((x * x) * (((t_0 * 1.3395919067215363e-8) - 9.765625e-6) / (0.003125 - ((x * x) * -0.00011574074074074075)))) - -0.041666666666666664))) - 0.25)) + 1.0)) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889))))))); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, N[(N[(N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(t$95$0 * N[(N[(x * N[(x * N[(N[(N[(x * x), $MachinePrecision] * N[(N[(N[(t$95$0 * 1.3395919067215363e-8), $MachinePrecision] - 9.765625e-6), $MachinePrecision] / N[(0.003125 - N[(N[(x * x), $MachinePrecision] * -0.00011574074074074075), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - -0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] - 0.25), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(x * N[(x * 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}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\frac{e^{x \cdot \left(x \cdot 10\right)} \cdot \left(t\_0 \cdot \left(x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \frac{t\_0 \cdot 1.3395919067215363 \cdot 10^{-8} - 9.765625 \cdot 10^{-6}}{0.003125 - \left(x \cdot x\right) \cdot -0.00011574074074074075} - -0.041666666666666664\right)\right) - 0.25\right) + 1\right)}{1 - x \cdot \left(x \cdot \left(-0.5 + \left(x \cdot x\right) \cdot \left(0.041666666666666664 + \left(x \cdot x\right) \cdot -0.001388888888888889\right)\right)\right)}
\end{array}
\end{array}
Initial program 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
Simplified27.5%
flip-+N/A
associate-*l/N/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
unpow2N/A
cube-multN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
Simplified29.3%
+-commutativeN/A
flip-+N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
swap-sqrN/A
associate-*r*N/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-*.f6429.3%
Applied egg-rr29.3%
Final simplification29.3%
(FPCore (x)
:precision binary64
(/
(*
(-
1.0
(*
(* x (* x (* x x)))
(+
0.25
(*
x
(*
x
(+
(* (* x x) (+ 0.003125 (* (* x x) -0.00011574074074074075)))
-0.041666666666666664))))))
(exp (* 10.0 (* x x))))
(-
1.0
(*
x
(*
x
(+
-0.5
(*
(* x x)
(+ 0.041666666666666664 (* (* x x) -0.001388888888888889)))))))))
double code(double x) {
return ((1.0 - ((x * (x * (x * x))) * (0.25 + (x * (x * (((x * x) * (0.003125 + ((x * x) * -0.00011574074074074075))) + -0.041666666666666664)))))) * exp((10.0 * (x * x)))) / (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 = ((1.0d0 - ((x * (x * (x * x))) * (0.25d0 + (x * (x * (((x * x) * (0.003125d0 + ((x * x) * (-0.00011574074074074075d0)))) + (-0.041666666666666664d0))))))) * exp((10.0d0 * (x * x)))) / (1.0d0 - (x * (x * ((-0.5d0) + ((x * x) * (0.041666666666666664d0 + ((x * x) * (-0.001388888888888889d0))))))))
end function
public static double code(double x) {
return ((1.0 - ((x * (x * (x * x))) * (0.25 + (x * (x * (((x * x) * (0.003125 + ((x * x) * -0.00011574074074074075))) + -0.041666666666666664)))))) * Math.exp((10.0 * (x * x)))) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))));
}
def code(x): return ((1.0 - ((x * (x * (x * x))) * (0.25 + (x * (x * (((x * x) * (0.003125 + ((x * x) * -0.00011574074074074075))) + -0.041666666666666664)))))) * math.exp((10.0 * (x * x)))) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889)))))))
function code(x) return Float64(Float64(Float64(1.0 - Float64(Float64(x * Float64(x * Float64(x * x))) * Float64(0.25 + Float64(x * Float64(x * Float64(Float64(Float64(x * x) * Float64(0.003125 + Float64(Float64(x * x) * -0.00011574074074074075))) + -0.041666666666666664)))))) * exp(Float64(10.0 * Float64(x * x)))) / Float64(1.0 - Float64(x * Float64(x * Float64(-0.5 + Float64(Float64(x * x) * Float64(0.041666666666666664 + Float64(Float64(x * x) * -0.001388888888888889)))))))) end
function tmp = code(x) tmp = ((1.0 - ((x * (x * (x * x))) * (0.25 + (x * (x * (((x * x) * (0.003125 + ((x * x) * -0.00011574074074074075))) + -0.041666666666666664)))))) * exp((10.0 * (x * x)))) / (1.0 - (x * (x * (-0.5 + ((x * x) * (0.041666666666666664 + ((x * x) * -0.001388888888888889))))))); end
code[x_] := N[(N[(N[(1.0 - N[(N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(0.25 + N[(x * N[(x * N[(N[(N[(x * x), $MachinePrecision] * N[(0.003125 + N[(N[(x * x), $MachinePrecision] * -0.00011574074074074075), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(x * N[(x * 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}
\\
\frac{\left(1 - \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right) \cdot \left(0.25 + x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \left(0.003125 + \left(x \cdot x\right) \cdot -0.00011574074074074075\right) + -0.041666666666666664\right)\right)\right)\right) \cdot e^{10 \cdot \left(x \cdot x\right)}}{1 - x \cdot \left(x \cdot \left(-0.5 + \left(x \cdot x\right) \cdot \left(0.041666666666666664 + \left(x \cdot x\right) \cdot -0.001388888888888889\right)\right)\right)}
\end{array}
Initial program 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
Simplified27.5%
flip-+N/A
associate-*l/N/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
unpow2N/A
cube-multN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
Simplified29.3%
exp-lowering-exp.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f6429.3%
Applied egg-rr29.3%
Final simplification29.3%
(FPCore (x)
:precision binary64
(*
(exp (* 10.0 (* x x)))
(/
(-
1.0
(*
x
(*
(* x (* x x))
(+
0.25
(*
x
(*
x
(+
(* (* x x) (+ 0.003125 (* (* x x) -0.00011574074074074075)))
-0.041666666666666664)))))))
(-
1.0
(*
(* x x)
(+
-0.5
(*
x
(* x (+ 0.041666666666666664 (* x (* x -0.001388888888888889)))))))))))
double code(double x) {
return exp((10.0 * (x * x))) * ((1.0 - (x * ((x * (x * x)) * (0.25 + (x * (x * (((x * x) * (0.003125 + ((x * x) * -0.00011574074074074075))) + -0.041666666666666664))))))) / (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((10.0d0 * (x * x))) * ((1.0d0 - (x * ((x * (x * x)) * (0.25d0 + (x * (x * (((x * x) * (0.003125d0 + ((x * x) * (-0.00011574074074074075d0)))) + (-0.041666666666666664d0)))))))) / (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((10.0 * (x * x))) * ((1.0 - (x * ((x * (x * x)) * (0.25 + (x * (x * (((x * x) * (0.003125 + ((x * x) * -0.00011574074074074075))) + -0.041666666666666664))))))) / (1.0 - ((x * x) * (-0.5 + (x * (x * (0.041666666666666664 + (x * (x * -0.001388888888888889)))))))));
}
def code(x): return math.exp((10.0 * (x * x))) * ((1.0 - (x * ((x * (x * x)) * (0.25 + (x * (x * (((x * x) * (0.003125 + ((x * x) * -0.00011574074074074075))) + -0.041666666666666664))))))) / (1.0 - ((x * x) * (-0.5 + (x * (x * (0.041666666666666664 + (x * (x * -0.001388888888888889)))))))))
function code(x) return Float64(exp(Float64(10.0 * Float64(x * x))) * Float64(Float64(1.0 - Float64(x * Float64(Float64(x * Float64(x * x)) * Float64(0.25 + Float64(x * Float64(x * Float64(Float64(Float64(x * x) * Float64(0.003125 + Float64(Float64(x * x) * -0.00011574074074074075))) + -0.041666666666666664))))))) / Float64(1.0 - Float64(Float64(x * x) * Float64(-0.5 + Float64(x * Float64(x * Float64(0.041666666666666664 + Float64(x * Float64(x * -0.001388888888888889)))))))))) end
function tmp = code(x) tmp = exp((10.0 * (x * x))) * ((1.0 - (x * ((x * (x * x)) * (0.25 + (x * (x * (((x * x) * (0.003125 + ((x * x) * -0.00011574074074074075))) + -0.041666666666666664))))))) / (1.0 - ((x * x) * (-0.5 + (x * (x * (0.041666666666666664 + (x * (x * -0.001388888888888889))))))))); end
code[x_] := N[(N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(1.0 - N[(x * N[(N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision] * N[(0.25 + N[(x * N[(x * N[(N[(N[(x * x), $MachinePrecision] * N[(0.003125 + N[(N[(x * x), $MachinePrecision] * -0.00011574074074074075), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(N[(x * x), $MachinePrecision] * N[(-0.5 + N[(x * N[(x * N[(0.041666666666666664 + N[(x * N[(x * -0.001388888888888889), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{10 \cdot \left(x \cdot x\right)} \cdot \frac{1 - x \cdot \left(\left(x \cdot \left(x \cdot x\right)\right) \cdot \left(0.25 + x \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \left(0.003125 + \left(x \cdot x\right) \cdot -0.00011574074074074075\right) + -0.041666666666666664\right)\right)\right)\right)}{1 - \left(x \cdot x\right) \cdot \left(-0.5 + x \cdot \left(x \cdot \left(0.041666666666666664 + x \cdot \left(x \cdot -0.001388888888888889\right)\right)\right)\right)}
\end{array}
Initial program 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
Simplified27.5%
flip-+N/A
associate-*l/N/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
unpow2N/A
cube-multN/A
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/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
(/
(*
(* x x)
(+ 7.233796296296296e-5 (* (* t_0 t_0) -2.6791838134430728e-9)))
(+ 0.001736111111111111 (* t_1 (- t_1 0.041666666666666664)))))))
1.0))))
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 + (((x * x) * (7.233796296296296e-5 + ((t_0 * t_0) * -2.6791838134430728e-9))) / (0.001736111111111111 + (t_1 * (t_1 - 0.041666666666666664))))))) + 1.0);
}
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) + (((x * x) * (7.233796296296296d-5 + ((t_0 * t_0) * (-2.6791838134430728d-9)))) / (0.001736111111111111d0 + (t_1 * (t_1 - 0.041666666666666664d0))))))) + 1.0d0)
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 + (((x * x) * (7.233796296296296e-5 + ((t_0 * t_0) * -2.6791838134430728e-9))) / (0.001736111111111111 + (t_1 * (t_1 - 0.041666666666666664))))))) + 1.0);
}
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 + (((x * x) * (7.233796296296296e-5 + ((t_0 * t_0) * -2.6791838134430728e-9))) / (0.001736111111111111 + (t_1 * (t_1 - 0.041666666666666664))))))) + 1.0)
function code(x) t_0 = Float64(x * Float64(x * x)) t_1 = Float64(x * Float64(x * -0.001388888888888889)) return Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(x * Float64(x * Float64(-0.5 + Float64(Float64(Float64(x * x) * Float64(7.233796296296296e-5 + Float64(Float64(t_0 * t_0) * -2.6791838134430728e-9))) / Float64(0.001736111111111111 + Float64(t_1 * Float64(t_1 - 0.041666666666666664))))))) + 1.0)) 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 + (((x * x) * (7.233796296296296e-5 + ((t_0 * t_0) * -2.6791838134430728e-9))) / (0.001736111111111111 + (t_1 * (t_1 - 0.041666666666666664))))))) + 1.0); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(x * N[(x * -0.001388888888888889), $MachinePrecision]), $MachinePrecision]}, N[(N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(x * N[(x * N[(-0.5 + N[(N[(N[(x * x), $MachinePrecision] * N[(7.233796296296296e-5 + N[(N[(t$95$0 * t$95$0), $MachinePrecision] * -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] + 1.0), $MachinePrecision]), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot x\right)\\
t_1 := x \cdot \left(x \cdot -0.001388888888888889\right)\\
e^{x \cdot \left(x \cdot 10\right)} \cdot \left(x \cdot \left(x \cdot \left(-0.5 + \frac{\left(x \cdot x\right) \cdot \left(7.233796296296296 \cdot 10^{-5} + \left(t\_0 \cdot t\_0\right) \cdot -2.6791838134430728 \cdot 10^{-9}\right)}{0.001736111111111111 + t\_1 \cdot \left(t\_1 - 0.041666666666666664\right)}\right)\right) + 1\right)
\end{array}
\end{array}
Initial program 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
Simplified27.5%
+-commutativeN/A
+-lowering-+.f64N/A
Applied egg-rr27.5%
flip3-+N/A
associate-*l/N/A
/-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 (- (* x (* x 0.001388888888888889)) 0.041666666666666664))))))
1.0)))
double code(double x) {
return exp((10.0 * (x * x))) * ((x * (x * (-0.5 - (x * (x * ((x * (x * 0.001388888888888889)) - 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 * ((x * (x * 0.001388888888888889d0)) - 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 * ((x * (x * 0.001388888888888889)) - 0.041666666666666664)))))) + 1.0);
}
def code(x): return math.exp((10.0 * (x * x))) * ((x * (x * (-0.5 - (x * (x * ((x * (x * 0.001388888888888889)) - 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(x * Float64(x * Float64(Float64(x * Float64(x * 0.001388888888888889)) - 0.041666666666666664)))))) + 1.0)) end
function tmp = code(x) tmp = exp((10.0 * (x * x))) * ((x * (x * (-0.5 - (x * (x * ((x * (x * 0.001388888888888889)) - 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[(x * N[(x * N[(N[(x * N[(x * 0.001388888888888889), $MachinePrecision]), $MachinePrecision] - 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $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 - x \cdot \left(x \cdot \left(x \cdot \left(x \cdot 0.001388888888888889\right) - 0.041666666666666664\right)\right)\right)\right) + 1\right)
\end{array}
Initial program 94.4%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
Simplified27.5%
Final simplification27.5%
(FPCore (x) :precision binary64 (* (exp (* x (* x 10.0))) (+ (* x (* (* x x) (* x (+ 0.041666666666666664 (/ -0.5 (* x x)))))) 1.0)))
double code(double x) {
return exp((x * (x * 10.0))) * ((x * ((x * x) * (x * (0.041666666666666664 + (-0.5 / (x * x)))))) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((x * (x * 10.0d0))) * ((x * ((x * x) * (x * (0.041666666666666664d0 + ((-0.5d0) / (x * x)))))) + 1.0d0)
end function
public static double code(double x) {
return Math.exp((x * (x * 10.0))) * ((x * ((x * x) * (x * (0.041666666666666664 + (-0.5 / (x * x)))))) + 1.0);
}
def code(x): return math.exp((x * (x * 10.0))) * ((x * ((x * x) * (x * (0.041666666666666664 + (-0.5 / (x * x)))))) + 1.0)
function code(x) return Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(x * Float64(Float64(x * x) * Float64(x * Float64(0.041666666666666664 + Float64(-0.5 / Float64(x * x)))))) + 1.0)) end
function tmp = code(x) tmp = exp((x * (x * 10.0))) * ((x * ((x * x) * (x * (0.041666666666666664 + (-0.5 / (x * x)))))) + 1.0); end
code[x_] := N[(N[Exp[N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(N[(x * N[(N[(x * x), $MachinePrecision] * N[(x * N[(0.041666666666666664 + N[(-0.5 / N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{x \cdot \left(x \cdot 10\right)} \cdot \left(x \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot \left(0.041666666666666664 + \frac{-0.5}{x \cdot x}\right)\right)\right) + 1\right)
\end{array}
Initial program 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
Simplified27.5%
Taylor expanded in x around 0
*-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%
Taylor expanded in x around inf
unpow3N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
+-lowering-+.f64N/A
associate-*r/N/A
metadata-evalN/A
distribute-neg-fracN/A
metadata-evalN/A
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6421.3%
Simplified21.3%
Final simplification21.3%
(FPCore (x) :precision binary64 (* (exp (* x (* x 10.0))) (+ (* x (* x (+ -0.5 (* (* x x) 0.041666666666666664)))) 1.0)))
double code(double x) {
return exp((x * (x * 10.0))) * ((x * (x * (-0.5 + ((x * x) * 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) * 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) * 0.041666666666666664)))) + 1.0);
}
def code(x): return math.exp((x * (x * 10.0))) * ((x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))) + 1.0)
function code(x) return Float64(exp(Float64(x * Float64(x * 10.0))) * Float64(Float64(x * Float64(x * Float64(-0.5 + Float64(Float64(x * x) * 0.041666666666666664)))) + 1.0)) end
function tmp = code(x) tmp = exp((x * (x * 10.0))) * ((x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))) + 1.0); end
code[x_] := N[(N[Exp[N[(x * N[(x * 10.0), $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^{x \cdot \left(x \cdot 10\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 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
remove-double-negN/A
sub-negN/A
--lowering--.f64N/A
*-commutativeN/A
Simplified27.5%
Taylor expanded in x around 0
*-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%
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(x * Float64(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[(x * N[(x * -0.5), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{10 \cdot \left(x \cdot x\right)} \cdot \left(x \cdot \left(x \cdot -0.5\right) + 1\right)
\end{array}
Initial program 94.4%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/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 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/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(x * Float64(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[(x * N[(x * -0.5), $MachinePrecision]), $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(x \cdot \left(x \cdot -0.5\right) + 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 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/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(x * Float64(x * -0.5)) + 1.0) * Float64(Float64(x * Float64(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[(x * N[(x * -0.5), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision] * N[(N[(x * N[(x * N[(10.0 + N[(N[(x * x), $MachinePrecision] * 50.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot \left(x \cdot -0.5\right) + 1\right) \cdot \left(x \cdot \left(x \cdot \left(10 + \left(x \cdot x\right) \cdot 50\right)\right) + 1\right)
\end{array}
Initial program 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6418.2%
Simplified18.2%
Taylor expanded in x 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-*.f6410.1%
Simplified10.1%
Final simplification10.1%
(FPCore (x) :precision binary64 (* (+ (* (* x x) -0.5) 1.0) (+ (* 10.0 (* x x)) 1.0)))
double code(double x) {
return (((x * x) * -0.5) + 1.0) * ((10.0 * (x * x)) + 1.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = (((x * x) * (-0.5d0)) + 1.0d0) * ((10.0d0 * (x * x)) + 1.0d0)
end function
public static double code(double x) {
return (((x * x) * -0.5) + 1.0) * ((10.0 * (x * x)) + 1.0);
}
def code(x): return (((x * x) * -0.5) + 1.0) * ((10.0 * (x * x)) + 1.0)
function code(x) return Float64(Float64(Float64(Float64(x * x) * -0.5) + 1.0) * Float64(Float64(10.0 * Float64(x * x)) + 1.0)) end
function tmp = code(x) tmp = (((x * x) * -0.5) + 1.0) * ((10.0 * (x * x)) + 1.0); end
code[x_] := N[(N[(N[(N[(x * x), $MachinePrecision] * -0.5), $MachinePrecision] + 1.0), $MachinePrecision] * N[(N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(\left(x \cdot x\right) \cdot -0.5 + 1\right) \cdot \left(10 \cdot \left(x \cdot x\right) + 1\right)
\end{array}
Initial program 94.4%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/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(Float64(x * 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[(N[(x * x), $MachinePrecision] * -4.958333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + 1.0), $MachinePrecision]
\begin{array}{l}
\\
\left(x \cdot x\right) \cdot \left(9.5 + \left(x \cdot x\right) \cdot -4.958333333333333\right) + 1
\end{array}
Initial program 94.4%
Taylor expanded in x around 0
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/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
*-lowering-*.f64N/A
unpow2N/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 94.4%
*-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-*.f6494.3%
Simplified94.3%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/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 94.4%
Taylor expanded in x around 0
Simplified1.5%
herbie shell --seed 2024138
(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)))))