
(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 12 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
(*
(exp (* 10.0 (* x x)))
(+
1.0
(*
x
(*
x
(+
-0.5
(*
x
(*
x
(+
0.041666666666666664
(*
(* x x)
(+
-0.001388888888888889
(* 3.0864197530864196e-6 (* x (* x (* x x)))))))))))))))
double code(double x) {
return exp((10.0 * (x * x))) * (1.0 + (x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * (-0.001388888888888889 + (3.0864197530864196e-6 * (x * (x * (x * x)))))))))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((10.0d0 * (x * x))) * (1.0d0 + (x * (x * ((-0.5d0) + (x * (x * (0.041666666666666664d0 + ((x * x) * ((-0.001388888888888889d0) + (3.0864197530864196d-6 * (x * (x * (x * x)))))))))))))
end function
public static double code(double x) {
return Math.exp((10.0 * (x * x))) * (1.0 + (x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * (-0.001388888888888889 + (3.0864197530864196e-6 * (x * (x * (x * x)))))))))))));
}
def code(x): return math.exp((10.0 * (x * x))) * (1.0 + (x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * (-0.001388888888888889 + (3.0864197530864196e-6 * (x * (x * (x * x)))))))))))))
function code(x) return Float64(exp(Float64(10.0 * Float64(x * x))) * Float64(1.0 + Float64(x * Float64(x * Float64(-0.5 + Float64(x * Float64(x * Float64(0.041666666666666664 + Float64(Float64(x * x) * Float64(-0.001388888888888889 + Float64(3.0864197530864196e-6 * Float64(x * Float64(x * Float64(x * x)))))))))))))) end
function tmp = code(x) tmp = exp((10.0 * (x * x))) * (1.0 + (x * (x * (-0.5 + (x * (x * (0.041666666666666664 + ((x * x) * (-0.001388888888888889 + (3.0864197530864196e-6 * (x * (x * (x * x))))))))))))); end
code[x_] := N[(N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(1.0 + N[(x * N[(x * N[(-0.5 + N[(x * N[(x * N[(0.041666666666666664 + N[(N[(x * x), $MachinePrecision] * N[(-0.001388888888888889 + N[(3.0864197530864196e-6 * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{10 \cdot \left(x \cdot x\right)} \cdot \left(1 + x \cdot \left(x \cdot \left(-0.5 + x \cdot \left(x \cdot \left(0.041666666666666664 + \left(x \cdot x\right) \cdot \left(-0.001388888888888889 + 3.0864197530864196 \cdot 10^{-6} \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 94.5%
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%
flip3--N/A
/-lowering-/.f64N/A
Applied egg-rr27.5%
Applied egg-rr28.9%
Taylor expanded in x around 0
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/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
metadata-evalN/A
pow-sqrN/A
Simplified29.2%
Final simplification29.2%
(FPCore (x)
:precision binary64
(*
(exp (* 10.0 (* x x)))
(+
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 * (-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 * ((-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 * (-0.5 + (x * (x * (0.041666666666666664 - (x * (x * 0.001388888888888889)))))))));
}
def code(x): return 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(exp(Float64(10.0 * Float64(x * x))) * Float64(1.0 + Float64(x * Float64(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 * (-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[(1.0 + N[(x * N[(x * 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 \left(1 + x \cdot \left(x \cdot \left(-0.5 + x \cdot \left(x \cdot \left(0.041666666666666664 - x \cdot \left(x \cdot 0.001388888888888889\right)\right)\right)\right)\right)\right)
\end{array}
Initial program 94.5%
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 (* 10.0 (* x x))) (+ 1.0 (* x (* x (+ -0.5 (* (* x x) 0.041666666666666664)))))))
double code(double x) {
return exp((10.0 * (x * x))) * (1.0 + (x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((10.0d0 * (x * x))) * (1.0d0 + (x * (x * ((-0.5d0) + ((x * x) * 0.041666666666666664d0)))))
end function
public static double code(double x) {
return Math.exp((10.0 * (x * x))) * (1.0 + (x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))));
}
def code(x): return math.exp((10.0 * (x * x))) * (1.0 + (x * (x * (-0.5 + ((x * x) * 0.041666666666666664)))))
function code(x) return Float64(exp(Float64(10.0 * Float64(x * x))) * Float64(1.0 + Float64(x * Float64(x * Float64(-0.5 + Float64(Float64(x * x) * 0.041666666666666664)))))) end
function tmp = code(x) tmp = exp((10.0 * (x * x))) * (1.0 + (x * (x * (-0.5 + ((x * x) * 0.041666666666666664))))); end
code[x_] := N[(N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(1.0 + N[(x * N[(x * N[(-0.5 + N[(N[(x * x), $MachinePrecision] * 0.041666666666666664), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{10 \cdot \left(x \cdot x\right)} \cdot \left(1 + x \cdot \left(x \cdot \left(-0.5 + \left(x \cdot x\right) \cdot 0.041666666666666664\right)\right)\right)
\end{array}
Initial program 94.5%
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%
flip3--N/A
div-subN/A
--lowering--.f64N/A
Applied egg-rr27.5%
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-*.f6421.2%
Simplified21.2%
Final simplification21.2%
(FPCore (x) :precision binary64 (* (exp (* 10.0 (* x x))) (+ 1.0 (* x (* x -0.5)))))
double code(double x) {
return exp((10.0 * (x * x))) * (1.0 + (x * (x * -0.5)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = exp((10.0d0 * (x * x))) * (1.0d0 + (x * (x * (-0.5d0))))
end function
public static double code(double x) {
return Math.exp((10.0 * (x * x))) * (1.0 + (x * (x * -0.5)));
}
def code(x): return math.exp((10.0 * (x * x))) * (1.0 + (x * (x * -0.5)))
function code(x) return Float64(exp(Float64(10.0 * Float64(x * x))) * Float64(1.0 + Float64(x * Float64(x * -0.5)))) end
function tmp = code(x) tmp = exp((10.0 * (x * x))) * (1.0 + (x * (x * -0.5))); end
code[x_] := N[(N[Exp[N[(10.0 * N[(x * x), $MachinePrecision]), $MachinePrecision]], $MachinePrecision] * N[(1.0 + N[(x * N[(x * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
e^{10 \cdot \left(x \cdot x\right)} \cdot \left(1 + x \cdot \left(x \cdot -0.5\right)\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-*.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
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 (* (+ 1.0 (* x (* x -0.5))) (+ 1.0 (* x (* x (+ 10.0 (* (* x x) (+ 50.0 (* (* x x) 166.66666666666666)))))))))
double code(double x) {
return (1.0 + (x * (x * -0.5))) * (1.0 + (x * (x * (10.0 + ((x * x) * (50.0 + ((x * x) * 166.66666666666666)))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 + (x * (x * (-0.5d0)))) * (1.0d0 + (x * (x * (10.0d0 + ((x * x) * (50.0d0 + ((x * x) * 166.66666666666666d0)))))))
end function
public static double code(double x) {
return (1.0 + (x * (x * -0.5))) * (1.0 + (x * (x * (10.0 + ((x * x) * (50.0 + ((x * x) * 166.66666666666666)))))));
}
def code(x): return (1.0 + (x * (x * -0.5))) * (1.0 + (x * (x * (10.0 + ((x * x) * (50.0 + ((x * x) * 166.66666666666666)))))))
function code(x) return Float64(Float64(1.0 + Float64(x * Float64(x * -0.5))) * Float64(1.0 + Float64(x * Float64(x * Float64(10.0 + Float64(Float64(x * x) * Float64(50.0 + Float64(Float64(x * x) * 166.66666666666666)))))))) end
function tmp = code(x) tmp = (1.0 + (x * (x * -0.5))) * (1.0 + (x * (x * (10.0 + ((x * x) * (50.0 + ((x * x) * 166.66666666666666))))))); end
code[x_] := N[(N[(1.0 + N[(x * N[(x * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(x * N[(x * N[(10.0 + N[(N[(x * x), $MachinePrecision] * N[(50.0 + N[(N[(x * x), $MachinePrecision] * 166.66666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + x \cdot \left(x \cdot -0.5\right)\right) \cdot \left(1 + x \cdot \left(x \cdot \left(10 + \left(x \cdot x\right) \cdot \left(50 + \left(x \cdot x\right) \cdot 166.66666666666666\right)\right)\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
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
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/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%
(FPCore (x) :precision binary64 (* (+ 1.0 (* x (* x -0.5))) (+ 1.0 (* x (* x (+ 10.0 (* (* x x) 50.0)))))))
double code(double x) {
return (1.0 + (x * (x * -0.5))) * (1.0 + (x * (x * (10.0 + ((x * x) * 50.0)))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 + (x * (x * (-0.5d0)))) * (1.0d0 + (x * (x * (10.0d0 + ((x * x) * 50.0d0)))))
end function
public static double code(double x) {
return (1.0 + (x * (x * -0.5))) * (1.0 + (x * (x * (10.0 + ((x * x) * 50.0)))));
}
def code(x): return (1.0 + (x * (x * -0.5))) * (1.0 + (x * (x * (10.0 + ((x * x) * 50.0)))))
function code(x) return Float64(Float64(1.0 + Float64(x * Float64(x * -0.5))) * Float64(1.0 + Float64(x * Float64(x * Float64(10.0 + Float64(Float64(x * x) * 50.0)))))) end
function tmp = code(x) tmp = (1.0 + (x * (x * -0.5))) * (1.0 + (x * (x * (10.0 + ((x * x) * 50.0))))); end
code[x_] := N[(N[(1.0 + N[(x * N[(x * -0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(x * N[(x * N[(10.0 + N[(N[(x * x), $MachinePrecision] * 50.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + x \cdot \left(x \cdot -0.5\right)\right) \cdot \left(1 + x \cdot \left(x \cdot \left(10 + \left(x \cdot x\right) \cdot 50\right)\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
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%
(FPCore (x) :precision binary64 (* (+ 1.0 (* (* x x) -0.5)) (+ 1.0 (* x (* x 10.0)))))
double code(double x) {
return (1.0 + ((x * x) * -0.5)) * (1.0 + (x * (x * 10.0)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 + ((x * x) * (-0.5d0))) * (1.0d0 + (x * (x * 10.0d0)))
end function
public static double code(double x) {
return (1.0 + ((x * x) * -0.5)) * (1.0 + (x * (x * 10.0)));
}
def code(x): return (1.0 + ((x * x) * -0.5)) * (1.0 + (x * (x * 10.0)))
function code(x) return Float64(Float64(1.0 + Float64(Float64(x * x) * -0.5)) * Float64(1.0 + Float64(x * Float64(x * 10.0)))) end
function tmp = code(x) tmp = (1.0 + ((x * x) * -0.5)) * (1.0 + (x * (x * 10.0))); end
code[x_] := N[(N[(1.0 + N[(N[(x * x), $MachinePrecision] * -0.5), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(x * N[(x * 10.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + \left(x \cdot x\right) \cdot -0.5\right) \cdot \left(1 + x \cdot \left(x \cdot 10\right)\right)
\end{array}
Initial program 94.5%
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
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6418.2%
Simplified18.2%
Taylor expanded in x around 0
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f649.9%
Simplified9.9%
(FPCore (x) :precision binary64 (+ 1.0 (* x (* x (+ 9.5 (* (* x x) -4.958333333333333))))))
double code(double x) {
return 1.0 + (x * (x * (9.5 + ((x * x) * -4.958333333333333))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 + (x * (x * (9.5d0 + ((x * x) * (-4.958333333333333d0)))))
end function
public static double code(double x) {
return 1.0 + (x * (x * (9.5 + ((x * x) * -4.958333333333333))));
}
def code(x): return 1.0 + (x * (x * (9.5 + ((x * x) * -4.958333333333333))))
function code(x) return Float64(1.0 + Float64(x * Float64(x * Float64(9.5 + Float64(Float64(x * x) * -4.958333333333333))))) end
function tmp = code(x) tmp = 1.0 + (x * (x * (9.5 + ((x * x) * -4.958333333333333)))); end
code[x_] := N[(1.0 + N[(x * N[(x * N[(9.5 + N[(N[(x * x), $MachinePrecision] * -4.958333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
1 + x \cdot \left(x \cdot \left(9.5 + \left(x \cdot x\right) \cdot -4.958333333333333\right)\right)
\end{array}
Initial program 94.5%
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
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f649.9%
Simplified9.9%
(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
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 94.5%
Taylor expanded in x around 0
Simplified1.5%
herbie shell --seed 2024149
(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)))))