
(FPCore (x) :precision binary64 (/ (- (exp x) (exp (- x))) 2.0))
double code(double x) {
return (exp(x) - exp(-x)) / 2.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = (exp(x) - exp(-x)) / 2.0d0
end function
public static double code(double x) {
return (Math.exp(x) - Math.exp(-x)) / 2.0;
}
def code(x): return (math.exp(x) - math.exp(-x)) / 2.0
function code(x) return Float64(Float64(exp(x) - exp(Float64(-x))) / 2.0) end
function tmp = code(x) tmp = (exp(x) - exp(-x)) / 2.0; end
code[x_] := N[(N[(N[Exp[x], $MachinePrecision] - N[Exp[(-x)], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x} - e^{-x}}{2}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 13 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (/ (- (exp x) (exp (- x))) 2.0))
double code(double x) {
return (exp(x) - exp(-x)) / 2.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = (exp(x) - exp(-x)) / 2.0d0
end function
public static double code(double x) {
return (Math.exp(x) - Math.exp(-x)) / 2.0;
}
def code(x): return (math.exp(x) - math.exp(-x)) / 2.0
function code(x) return Float64(Float64(exp(x) - exp(Float64(-x))) / 2.0) end
function tmp = code(x) tmp = (exp(x) - exp(-x)) / 2.0; end
code[x_] := N[(N[(N[Exp[x], $MachinePrecision] - N[Exp[(-x)], $MachinePrecision]), $MachinePrecision] / 2.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{e^{x} - e^{-x}}{2}
\end{array}
(FPCore (x) :precision binary64 (sinh x))
double code(double x) {
return sinh(x);
}
real(8) function code(x)
real(8), intent (in) :: x
code = sinh(x)
end function
public static double code(double x) {
return Math.sinh(x);
}
def code(x): return math.sinh(x)
function code(x) return sinh(x) end
function tmp = code(x) tmp = sinh(x); end
code[x_] := N[Sinh[x], $MachinePrecision]
\begin{array}{l}
\\
\sinh x
\end{array}
Initial program 50.6%
sinh-defN/A
sinh-lowering-sinh.f64100.0%
Applied egg-rr100.0%
(FPCore (x)
:precision binary64
(let* ((t_0
(*
x
(*
x
(*
x
(+
0.16666666666666666
(*
x
(*
x
(+
0.008333333333333333
(* (* x x) 0.0001984126984126984)))))))))
(t_1 (* (* x x) (* (* x x) (* x x))))
(t_2 (* 0.004629629629629629 t_1)))
(if (<= x 4.5e+19)
(*
x
(/
(+ 1.0 (* t_2 (* (* t_1 t_1) 2.143347050754458e-5)))
(*
(+ 1.0 (* t_2 (+ t_2 -1.0)))
(+
1.0
(*
(* x x)
(- (* (* x x) 0.027777777777777776) 0.16666666666666666))))))
(if (<= x 3.6e+44)
(/ (- (* x x) (* t_0 t_0)) (- x t_0))
(*
x
(+
1.0
(*
(* x x)
(+
0.16666666666666666
(* 0.0001984126984126984 (* x (* x (* x x))))))))))))
double code(double x) {
double t_0 = x * (x * (x * (0.16666666666666666 + (x * (x * (0.008333333333333333 + ((x * x) * 0.0001984126984126984)))))));
double t_1 = (x * x) * ((x * x) * (x * x));
double t_2 = 0.004629629629629629 * t_1;
double tmp;
if (x <= 4.5e+19) {
tmp = x * ((1.0 + (t_2 * ((t_1 * t_1) * 2.143347050754458e-5))) / ((1.0 + (t_2 * (t_2 + -1.0))) * (1.0 + ((x * x) * (((x * x) * 0.027777777777777776) - 0.16666666666666666)))));
} else if (x <= 3.6e+44) {
tmp = ((x * x) - (t_0 * t_0)) / (x - t_0);
} else {
tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x)))))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: tmp
t_0 = x * (x * (x * (0.16666666666666666d0 + (x * (x * (0.008333333333333333d0 + ((x * x) * 0.0001984126984126984d0)))))))
t_1 = (x * x) * ((x * x) * (x * x))
t_2 = 0.004629629629629629d0 * t_1
if (x <= 4.5d+19) then
tmp = x * ((1.0d0 + (t_2 * ((t_1 * t_1) * 2.143347050754458d-5))) / ((1.0d0 + (t_2 * (t_2 + (-1.0d0)))) * (1.0d0 + ((x * x) * (((x * x) * 0.027777777777777776d0) - 0.16666666666666666d0)))))
else if (x <= 3.6d+44) then
tmp = ((x * x) - (t_0 * t_0)) / (x - t_0)
else
tmp = x * (1.0d0 + ((x * x) * (0.16666666666666666d0 + (0.0001984126984126984d0 * (x * (x * (x * x)))))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = x * (x * (x * (0.16666666666666666 + (x * (x * (0.008333333333333333 + ((x * x) * 0.0001984126984126984)))))));
double t_1 = (x * x) * ((x * x) * (x * x));
double t_2 = 0.004629629629629629 * t_1;
double tmp;
if (x <= 4.5e+19) {
tmp = x * ((1.0 + (t_2 * ((t_1 * t_1) * 2.143347050754458e-5))) / ((1.0 + (t_2 * (t_2 + -1.0))) * (1.0 + ((x * x) * (((x * x) * 0.027777777777777776) - 0.16666666666666666)))));
} else if (x <= 3.6e+44) {
tmp = ((x * x) - (t_0 * t_0)) / (x - t_0);
} else {
tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x)))))));
}
return tmp;
}
def code(x): t_0 = x * (x * (x * (0.16666666666666666 + (x * (x * (0.008333333333333333 + ((x * x) * 0.0001984126984126984))))))) t_1 = (x * x) * ((x * x) * (x * x)) t_2 = 0.004629629629629629 * t_1 tmp = 0 if x <= 4.5e+19: tmp = x * ((1.0 + (t_2 * ((t_1 * t_1) * 2.143347050754458e-5))) / ((1.0 + (t_2 * (t_2 + -1.0))) * (1.0 + ((x * x) * (((x * x) * 0.027777777777777776) - 0.16666666666666666))))) elif x <= 3.6e+44: tmp = ((x * x) - (t_0 * t_0)) / (x - t_0) else: tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x))))))) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(0.16666666666666666 + Float64(x * Float64(x * Float64(0.008333333333333333 + Float64(Float64(x * x) * 0.0001984126984126984)))))))) t_1 = Float64(Float64(x * x) * Float64(Float64(x * x) * Float64(x * x))) t_2 = Float64(0.004629629629629629 * t_1) tmp = 0.0 if (x <= 4.5e+19) tmp = Float64(x * Float64(Float64(1.0 + Float64(t_2 * Float64(Float64(t_1 * t_1) * 2.143347050754458e-5))) / Float64(Float64(1.0 + Float64(t_2 * Float64(t_2 + -1.0))) * Float64(1.0 + Float64(Float64(x * x) * Float64(Float64(Float64(x * x) * 0.027777777777777776) - 0.16666666666666666)))))); elseif (x <= 3.6e+44) tmp = Float64(Float64(Float64(x * x) - Float64(t_0 * t_0)) / Float64(x - t_0)); else tmp = Float64(x * Float64(1.0 + Float64(Float64(x * x) * Float64(0.16666666666666666 + Float64(0.0001984126984126984 * Float64(x * Float64(x * Float64(x * x)))))))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * (x * (0.16666666666666666 + (x * (x * (0.008333333333333333 + ((x * x) * 0.0001984126984126984))))))); t_1 = (x * x) * ((x * x) * (x * x)); t_2 = 0.004629629629629629 * t_1; tmp = 0.0; if (x <= 4.5e+19) tmp = x * ((1.0 + (t_2 * ((t_1 * t_1) * 2.143347050754458e-5))) / ((1.0 + (t_2 * (t_2 + -1.0))) * (1.0 + ((x * x) * (((x * x) * 0.027777777777777776) - 0.16666666666666666))))); elseif (x <= 3.6e+44) tmp = ((x * x) - (t_0 * t_0)) / (x - t_0); else tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x))))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(0.16666666666666666 + N[(x * N[(x * N[(0.008333333333333333 + N[(N[(x * x), $MachinePrecision] * 0.0001984126984126984), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(N[(x * x), $MachinePrecision] * N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$2 = N[(0.004629629629629629 * t$95$1), $MachinePrecision]}, If[LessEqual[x, 4.5e+19], N[(x * N[(N[(1.0 + N[(t$95$2 * N[(N[(t$95$1 * t$95$1), $MachinePrecision] * 2.143347050754458e-5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(N[(1.0 + N[(t$95$2 * N[(t$95$2 + -1.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(N[(N[(x * x), $MachinePrecision] * 0.027777777777777776), $MachinePrecision] - 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], If[LessEqual[x, 3.6e+44], N[(N[(N[(x * x), $MachinePrecision] - N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] / N[(x - t$95$0), $MachinePrecision]), $MachinePrecision], N[(x * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.16666666666666666 + N[(0.0001984126984126984 * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(0.16666666666666666 + x \cdot \left(x \cdot \left(0.008333333333333333 + \left(x \cdot x\right) \cdot 0.0001984126984126984\right)\right)\right)\right)\right)\\
t_1 := \left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot \left(x \cdot x\right)\right)\\
t_2 := 0.004629629629629629 \cdot t\_1\\
\mathbf{if}\;x \leq 4.5 \cdot 10^{+19}:\\
\;\;\;\;x \cdot \frac{1 + t\_2 \cdot \left(\left(t\_1 \cdot t\_1\right) \cdot 2.143347050754458 \cdot 10^{-5}\right)}{\left(1 + t\_2 \cdot \left(t\_2 + -1\right)\right) \cdot \left(1 + \left(x \cdot x\right) \cdot \left(\left(x \cdot x\right) \cdot 0.027777777777777776 - 0.16666666666666666\right)\right)}\\
\mathbf{elif}\;x \leq 3.6 \cdot 10^{+44}:\\
\;\;\;\;\frac{x \cdot x - t\_0 \cdot t\_0}{x - t\_0}\\
\mathbf{else}:\\
\;\;\;\;x \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.16666666666666666 + 0.0001984126984126984 \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < 4.5e19Initial program 36.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6491.5%
Simplified91.5%
Applied egg-rr70.7%
if 4.5e19 < x < 3.6e44Initial program 100.0%
clear-numN/A
inv-powN/A
pow-to-expN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
clear-numN/A
sinh-defN/A
/-lowering-/.f64N/A
sinh-lowering-sinh.f64100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f647.7%
Simplified7.7%
distribute-rgt-inN/A
*-lft-identityN/A
flip-+N/A
*-rgt-identityN/A
fmm-defN/A
/-lowering-/.f64N/A
Applied egg-rr86.4%
if 3.6e44 < x Initial program 100.0%
clear-numN/A
inv-powN/A
pow-to-expN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
clear-numN/A
sinh-defN/A
/-lowering-/.f64N/A
sinh-lowering-sinh.f64100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
*-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-*.f64100.0%
Simplified100.0%
Final simplification76.7%
(FPCore (x)
:precision binary64
(let* ((t_0
(*
x
(*
x
(*
x
(+
0.16666666666666666
(*
x
(*
x
(+
0.008333333333333333
(* (* x x) 0.0001984126984126984))))))))))
(if (<= x 1e-8)
x
(if (<= x 3.6e+44)
(/ (- (* x x) (* t_0 t_0)) (- x t_0))
(*
x
(+
1.0
(*
(* x x)
(+
0.16666666666666666
(* 0.0001984126984126984 (* x (* x (* x x))))))))))))
double code(double x) {
double t_0 = x * (x * (x * (0.16666666666666666 + (x * (x * (0.008333333333333333 + ((x * x) * 0.0001984126984126984)))))));
double tmp;
if (x <= 1e-8) {
tmp = x;
} else if (x <= 3.6e+44) {
tmp = ((x * x) - (t_0 * t_0)) / (x - t_0);
} else {
tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x)))))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = x * (x * (x * (0.16666666666666666d0 + (x * (x * (0.008333333333333333d0 + ((x * x) * 0.0001984126984126984d0)))))))
if (x <= 1d-8) then
tmp = x
else if (x <= 3.6d+44) then
tmp = ((x * x) - (t_0 * t_0)) / (x - t_0)
else
tmp = x * (1.0d0 + ((x * x) * (0.16666666666666666d0 + (0.0001984126984126984d0 * (x * (x * (x * x)))))))
end if
code = tmp
end function
public static double code(double x) {
double t_0 = x * (x * (x * (0.16666666666666666 + (x * (x * (0.008333333333333333 + ((x * x) * 0.0001984126984126984)))))));
double tmp;
if (x <= 1e-8) {
tmp = x;
} else if (x <= 3.6e+44) {
tmp = ((x * x) - (t_0 * t_0)) / (x - t_0);
} else {
tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x)))))));
}
return tmp;
}
def code(x): t_0 = x * (x * (x * (0.16666666666666666 + (x * (x * (0.008333333333333333 + ((x * x) * 0.0001984126984126984))))))) tmp = 0 if x <= 1e-8: tmp = x elif x <= 3.6e+44: tmp = ((x * x) - (t_0 * t_0)) / (x - t_0) else: tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x))))))) return tmp
function code(x) t_0 = Float64(x * Float64(x * Float64(x * Float64(0.16666666666666666 + Float64(x * Float64(x * Float64(0.008333333333333333 + Float64(Float64(x * x) * 0.0001984126984126984)))))))) tmp = 0.0 if (x <= 1e-8) tmp = x; elseif (x <= 3.6e+44) tmp = Float64(Float64(Float64(x * x) - Float64(t_0 * t_0)) / Float64(x - t_0)); else tmp = Float64(x * Float64(1.0 + Float64(Float64(x * x) * Float64(0.16666666666666666 + Float64(0.0001984126984126984 * Float64(x * Float64(x * Float64(x * x)))))))); end return tmp end
function tmp_2 = code(x) t_0 = x * (x * (x * (0.16666666666666666 + (x * (x * (0.008333333333333333 + ((x * x) * 0.0001984126984126984))))))); tmp = 0.0; if (x <= 1e-8) tmp = x; elseif (x <= 3.6e+44) tmp = ((x * x) - (t_0 * t_0)) / (x - t_0); else tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x))))))); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(x * N[(x * N[(x * N[(0.16666666666666666 + N[(x * N[(x * N[(0.008333333333333333 + N[(N[(x * x), $MachinePrecision] * 0.0001984126984126984), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 1e-8], x, If[LessEqual[x, 3.6e+44], N[(N[(N[(x * x), $MachinePrecision] - N[(t$95$0 * t$95$0), $MachinePrecision]), $MachinePrecision] / N[(x - t$95$0), $MachinePrecision]), $MachinePrecision], N[(x * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.16666666666666666 + N[(0.0001984126984126984 * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot \left(x \cdot \left(0.16666666666666666 + x \cdot \left(x \cdot \left(0.008333333333333333 + \left(x \cdot x\right) \cdot 0.0001984126984126984\right)\right)\right)\right)\right)\\
\mathbf{if}\;x \leq 10^{-8}:\\
\;\;\;\;x\\
\mathbf{elif}\;x \leq 3.6 \cdot 10^{+44}:\\
\;\;\;\;\frac{x \cdot x - t\_0 \cdot t\_0}{x - t\_0}\\
\mathbf{else}:\\
\;\;\;\;x \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.16666666666666666 + 0.0001984126984126984 \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < 1e-8Initial program 34.9%
Taylor expanded in x around 0
Simplified72.4%
if 1e-8 < x < 3.6e44Initial program 98.7%
clear-numN/A
inv-powN/A
pow-to-expN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
clear-numN/A
sinh-defN/A
/-lowering-/.f64N/A
sinh-lowering-sinh.f6499.8%
Applied egg-rr99.8%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6415.6%
Simplified15.6%
distribute-rgt-inN/A
*-lft-identityN/A
flip-+N/A
*-rgt-identityN/A
fmm-defN/A
/-lowering-/.f64N/A
Applied egg-rr57.9%
if 3.6e44 < x Initial program 100.0%
clear-numN/A
inv-powN/A
pow-to-expN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
clear-numN/A
sinh-defN/A
/-lowering-/.f64N/A
sinh-lowering-sinh.f64100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64100.0%
Simplified100.0%
Taylor expanded in x around inf
*-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-*.f64100.0%
Simplified100.0%
(FPCore (x)
:precision binary64
(*
x
(+
1.0
(*
(* x x)
(+
0.16666666666666666
(*
x
(* x (+ 0.008333333333333333 (* x (* x 0.0001984126984126984))))))))))
double code(double x) {
return x * (1.0 + ((x * x) * (0.16666666666666666 + (x * (x * (0.008333333333333333 + (x * (x * 0.0001984126984126984))))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 + ((x * x) * (0.16666666666666666d0 + (x * (x * (0.008333333333333333d0 + (x * (x * 0.0001984126984126984d0))))))))
end function
public static double code(double x) {
return x * (1.0 + ((x * x) * (0.16666666666666666 + (x * (x * (0.008333333333333333 + (x * (x * 0.0001984126984126984))))))));
}
def code(x): return x * (1.0 + ((x * x) * (0.16666666666666666 + (x * (x * (0.008333333333333333 + (x * (x * 0.0001984126984126984))))))))
function code(x) return Float64(x * Float64(1.0 + Float64(Float64(x * x) * Float64(0.16666666666666666 + Float64(x * Float64(x * Float64(0.008333333333333333 + Float64(x * Float64(x * 0.0001984126984126984))))))))) end
function tmp = code(x) tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (x * (x * (0.008333333333333333 + (x * (x * 0.0001984126984126984)))))))); end
code[x_] := N[(x * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.16666666666666666 + N[(x * N[(x * N[(0.008333333333333333 + N[(x * N[(x * 0.0001984126984126984), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.16666666666666666 + x \cdot \left(x \cdot \left(0.008333333333333333 + x \cdot \left(x \cdot 0.0001984126984126984\right)\right)\right)\right)\right)
\end{array}
Initial program 50.6%
sinh-defN/A
sinh-lowering-sinh.f64100.0%
Applied egg-rr100.0%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
unpow2N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6493.5%
Simplified93.5%
(FPCore (x)
:precision binary64
(*
x
(+
1.0
(*
(* x x)
(+ 0.16666666666666666 (* 0.0001984126984126984 (* x (* x (* x x)))))))))
double code(double x) {
return x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x)))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 + ((x * x) * (0.16666666666666666d0 + (0.0001984126984126984d0 * (x * (x * (x * x)))))))
end function
public static double code(double x) {
return x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x)))))));
}
def code(x): return x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x)))))))
function code(x) return Float64(x * Float64(1.0 + Float64(Float64(x * x) * Float64(0.16666666666666666 + Float64(0.0001984126984126984 * Float64(x * Float64(x * Float64(x * x)))))))) end
function tmp = code(x) tmp = x * (1.0 + ((x * x) * (0.16666666666666666 + (0.0001984126984126984 * (x * (x * (x * x))))))); end
code[x_] := N[(x * N[(1.0 + N[(N[(x * x), $MachinePrecision] * N[(0.16666666666666666 + N[(0.0001984126984126984 * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 + \left(x \cdot x\right) \cdot \left(0.16666666666666666 + 0.0001984126984126984 \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right)
\end{array}
Initial program 50.6%
clear-numN/A
inv-powN/A
pow-to-expN/A
exp-lowering-exp.f64N/A
*-lowering-*.f64N/A
log-lowering-log.f64N/A
clear-numN/A
sinh-defN/A
/-lowering-/.f64N/A
sinh-lowering-sinh.f6450.5%
Applied egg-rr50.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6493.5%
Simplified93.5%
Taylor expanded in x around inf
*-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-*.f6493.4%
Simplified93.4%
(FPCore (x) :precision binary64 (if (<= x 5.0) (+ x (* (* x x) (* x 0.16666666666666666))) (* 0.008333333333333333 (* x (* x (* x (* x x)))))))
double code(double x) {
double tmp;
if (x <= 5.0) {
tmp = x + ((x * x) * (x * 0.16666666666666666));
} else {
tmp = 0.008333333333333333 * (x * (x * (x * (x * x))));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 5.0d0) then
tmp = x + ((x * x) * (x * 0.16666666666666666d0))
else
tmp = 0.008333333333333333d0 * (x * (x * (x * (x * x))))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 5.0) {
tmp = x + ((x * x) * (x * 0.16666666666666666));
} else {
tmp = 0.008333333333333333 * (x * (x * (x * (x * x))));
}
return tmp;
}
def code(x): tmp = 0 if x <= 5.0: tmp = x + ((x * x) * (x * 0.16666666666666666)) else: tmp = 0.008333333333333333 * (x * (x * (x * (x * x)))) return tmp
function code(x) tmp = 0.0 if (x <= 5.0) tmp = Float64(x + Float64(Float64(x * x) * Float64(x * 0.16666666666666666))); else tmp = Float64(0.008333333333333333 * Float64(x * Float64(x * Float64(x * Float64(x * x))))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 5.0) tmp = x + ((x * x) * (x * 0.16666666666666666)); else tmp = 0.008333333333333333 * (x * (x * (x * (x * x)))); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 5.0], N[(x + N[(N[(x * x), $MachinePrecision] * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(0.008333333333333333 * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 5:\\
\;\;\;\;x + \left(x \cdot x\right) \cdot \left(x \cdot 0.16666666666666666\right)\\
\mathbf{else}:\\
\;\;\;\;0.008333333333333333 \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\\
\end{array}
\end{array}
if x < 5Initial program 35.5%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6493.3%
Simplified93.3%
+-commutativeN/A
distribute-rgt-inN/A
*-lft-identityN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6493.3%
Applied egg-rr93.3%
if 5 < x Initial program 100.0%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6468.8%
Simplified68.8%
Taylor expanded in x around inf
metadata-evalN/A
pow-sqrN/A
unpow2N/A
associate-*l*N/A
unpow2N/A
cube-multN/A
associate-*r*N/A
cube-multN/A
unpow2N/A
associate-*l*N/A
associate-*r*N/A
+-commutativeN/A
distribute-rgt-inN/A
associate-*l*N/A
lft-mult-inverseN/A
metadata-evalN/A
associate-*l*N/A
*-lowering-*.f64N/A
Simplified68.8%
Taylor expanded in x around inf
*-lowering-*.f64N/A
metadata-evalN/A
pow-plusN/A
metadata-evalN/A
pow-sqrN/A
associate-*r*N/A
unpow2N/A
unpow3N/A
*-commutativeN/A
cube-multN/A
unpow2N/A
associate-*l*N/A
pow-sqrN/A
metadata-evalN/A
*-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-*.f6470.2%
Simplified70.2%
Final simplification87.9%
(FPCore (x) :precision binary64 (+ x (* x (* x (* x (+ 0.16666666666666666 (* x (* x 0.008333333333333333))))))))
double code(double x) {
return x + (x * (x * (x * (0.16666666666666666 + (x * (x * 0.008333333333333333))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x + (x * (x * (x * (0.16666666666666666d0 + (x * (x * 0.008333333333333333d0))))))
end function
public static double code(double x) {
return x + (x * (x * (x * (0.16666666666666666 + (x * (x * 0.008333333333333333))))));
}
def code(x): return x + (x * (x * (x * (0.16666666666666666 + (x * (x * 0.008333333333333333))))))
function code(x) return Float64(x + Float64(x * Float64(x * Float64(x * Float64(0.16666666666666666 + Float64(x * Float64(x * 0.008333333333333333))))))) end
function tmp = code(x) tmp = x + (x * (x * (x * (0.16666666666666666 + (x * (x * 0.008333333333333333)))))); end
code[x_] := N[(x + N[(x * N[(x * N[(x * N[(0.16666666666666666 + N[(x * N[(x * 0.008333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x + x \cdot \left(x \cdot \left(x \cdot \left(0.16666666666666666 + x \cdot \left(x \cdot 0.008333333333333333\right)\right)\right)\right)
\end{array}
Initial program 50.6%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6489.4%
Simplified89.4%
+-commutativeN/A
distribute-lft-inN/A
*-rgt-identityN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f6489.4%
Applied egg-rr89.4%
Final simplification89.4%
(FPCore (x) :precision binary64 (* x (+ 1.0 (* x (* x (+ 0.16666666666666666 (* (* x x) 0.008333333333333333)))))))
double code(double x) {
return x * (1.0 + (x * (x * (0.16666666666666666 + ((x * x) * 0.008333333333333333)))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 + (x * (x * (0.16666666666666666d0 + ((x * x) * 0.008333333333333333d0)))))
end function
public static double code(double x) {
return x * (1.0 + (x * (x * (0.16666666666666666 + ((x * x) * 0.008333333333333333)))));
}
def code(x): return x * (1.0 + (x * (x * (0.16666666666666666 + ((x * x) * 0.008333333333333333)))))
function code(x) return Float64(x * Float64(1.0 + Float64(x * Float64(x * Float64(0.16666666666666666 + Float64(Float64(x * x) * 0.008333333333333333)))))) end
function tmp = code(x) tmp = x * (1.0 + (x * (x * (0.16666666666666666 + ((x * x) * 0.008333333333333333))))); end
code[x_] := N[(x * N[(1.0 + N[(x * N[(x * N[(0.16666666666666666 + N[(N[(x * x), $MachinePrecision] * 0.008333333333333333), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 + x \cdot \left(x \cdot \left(0.16666666666666666 + \left(x \cdot x\right) \cdot 0.008333333333333333\right)\right)\right)
\end{array}
Initial program 50.6%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6489.4%
Simplified89.4%
(FPCore (x) :precision binary64 (* x (+ 1.0 (* x (* 0.008333333333333333 (* x (* x x)))))))
double code(double x) {
return x * (1.0 + (x * (0.008333333333333333 * (x * (x * x)))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 + (x * (0.008333333333333333d0 * (x * (x * x)))))
end function
public static double code(double x) {
return x * (1.0 + (x * (0.008333333333333333 * (x * (x * x)))));
}
def code(x): return x * (1.0 + (x * (0.008333333333333333 * (x * (x * x)))))
function code(x) return Float64(x * Float64(1.0 + Float64(x * Float64(0.008333333333333333 * Float64(x * Float64(x * x)))))) end
function tmp = code(x) tmp = x * (1.0 + (x * (0.008333333333333333 * (x * (x * x))))); end
code[x_] := N[(x * N[(1.0 + N[(x * N[(0.008333333333333333 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 + x \cdot \left(0.008333333333333333 \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)
\end{array}
Initial program 50.6%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*l*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6489.4%
Simplified89.4%
Taylor expanded in x around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6488.9%
Simplified88.9%
(FPCore (x) :precision binary64 (if (<= x 2.45) x (* 0.16666666666666666 (* x (* x x)))))
double code(double x) {
double tmp;
if (x <= 2.45) {
tmp = x;
} else {
tmp = 0.16666666666666666 * (x * (x * x));
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if (x <= 2.45d0) then
tmp = x
else
tmp = 0.16666666666666666d0 * (x * (x * x))
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if (x <= 2.45) {
tmp = x;
} else {
tmp = 0.16666666666666666 * (x * (x * x));
}
return tmp;
}
def code(x): tmp = 0 if x <= 2.45: tmp = x else: tmp = 0.16666666666666666 * (x * (x * x)) return tmp
function code(x) tmp = 0.0 if (x <= 2.45) tmp = x; else tmp = Float64(0.16666666666666666 * Float64(x * Float64(x * x))); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if (x <= 2.45) tmp = x; else tmp = 0.16666666666666666 * (x * (x * x)); end tmp_2 = tmp; end
code[x_] := If[LessEqual[x, 2.45], x, N[(0.16666666666666666 * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \leq 2.45:\\
\;\;\;\;x\\
\mathbf{else}:\\
\;\;\;\;0.16666666666666666 \cdot \left(x \cdot \left(x \cdot x\right)\right)\\
\end{array}
\end{array}
if x < 2.4500000000000002Initial program 35.5%
Taylor expanded in x around 0
Simplified72.1%
if 2.4500000000000002 < x Initial program 100.0%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6462.0%
Simplified62.0%
Taylor expanded in x around inf
*-lowering-*.f64N/A
cube-multN/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6462.0%
Simplified62.0%
(FPCore (x) :precision binary64 (+ x (* (* x x) (* x 0.16666666666666666))))
double code(double x) {
return x + ((x * x) * (x * 0.16666666666666666));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x + ((x * x) * (x * 0.16666666666666666d0))
end function
public static double code(double x) {
return x + ((x * x) * (x * 0.16666666666666666));
}
def code(x): return x + ((x * x) * (x * 0.16666666666666666))
function code(x) return Float64(x + Float64(Float64(x * x) * Float64(x * 0.16666666666666666))) end
function tmp = code(x) tmp = x + ((x * x) * (x * 0.16666666666666666)); end
code[x_] := N[(x + N[(N[(x * x), $MachinePrecision] * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x + \left(x \cdot x\right) \cdot \left(x \cdot 0.16666666666666666\right)
\end{array}
Initial program 50.6%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6486.0%
Simplified86.0%
+-commutativeN/A
distribute-rgt-inN/A
*-lft-identityN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*l*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f6486.0%
Applied egg-rr86.0%
Final simplification86.0%
(FPCore (x) :precision binary64 (* x (+ 1.0 (* x (* x 0.16666666666666666)))))
double code(double x) {
return x * (1.0 + (x * (x * 0.16666666666666666)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 + (x * (x * 0.16666666666666666d0)))
end function
public static double code(double x) {
return x * (1.0 + (x * (x * 0.16666666666666666)));
}
def code(x): return x * (1.0 + (x * (x * 0.16666666666666666)))
function code(x) return Float64(x * Float64(1.0 + Float64(x * Float64(x * 0.16666666666666666)))) end
function tmp = code(x) tmp = x * (1.0 + (x * (x * 0.16666666666666666))); end
code[x_] := N[(x * N[(1.0 + N[(x * N[(x * 0.16666666666666666), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \left(1 + x \cdot \left(x \cdot 0.16666666666666666\right)\right)
\end{array}
Initial program 50.6%
Taylor expanded in x around 0
*-lowering-*.f64N/A
+-lowering-+.f64N/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
*-lowering-*.f64N/A
*-commutativeN/A
*-lowering-*.f6486.0%
Simplified86.0%
(FPCore (x) :precision binary64 x)
double code(double x) {
return x;
}
real(8) function code(x)
real(8), intent (in) :: x
code = x
end function
public static double code(double x) {
return x;
}
def code(x): return x
function code(x) return x end
function tmp = code(x) tmp = x; end
code[x_] := x
\begin{array}{l}
\\
x
\end{array}
Initial program 50.6%
Taylor expanded in x around 0
Simplified56.4%
herbie shell --seed 2024138
(FPCore (x)
:name "Hyperbolic sine"
:precision binary64
(/ (- (exp x) (exp (- x))) 2.0))