
(FPCore (x) :precision binary64 (/ 10.0 (- 1.0 (* x x))))
double code(double x) {
return 10.0 / (1.0 - (x * x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0 / (1.0d0 - (x * x))
end function
public static double code(double x) {
return 10.0 / (1.0 - (x * x));
}
def code(x): return 10.0 / (1.0 - (x * x))
function code(x) return Float64(10.0 / Float64(1.0 - Float64(x * x))) end
function tmp = code(x) tmp = 10.0 / (1.0 - (x * x)); end
code[x_] := N[(10.0 / N[(1.0 - N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{1 - x \cdot x}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 14 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (/ 10.0 (- 1.0 (* x x))))
double code(double x) {
return 10.0 / (1.0 - (x * x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0 / (1.0d0 - (x * x))
end function
public static double code(double x) {
return 10.0 / (1.0 - (x * x));
}
def code(x): return 10.0 / (1.0 - (x * x))
function code(x) return Float64(10.0 / Float64(1.0 - Float64(x * x))) end
function tmp = code(x) tmp = 10.0 / (1.0 - (x * x)); end
code[x_] := N[(10.0 / N[(1.0 - N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{1 - x \cdot x}
\end{array}
(FPCore (x) :precision binary64 (/ 10.0 (fma (- 0.0 x) x 1.0)))
double code(double x) {
return 10.0 / fma((0.0 - x), x, 1.0);
}
function code(x) return Float64(10.0 / fma(Float64(0.0 - x), x, 1.0)) end
code[x_] := N[(10.0 / N[(N[(0.0 - x), $MachinePrecision] * x + 1.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{\mathsf{fma}\left(0 - x, x, 1\right)}
\end{array}
Initial program 87.4%
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
fma-defineN/A
fma-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f6499.6%
Applied egg-rr99.6%
sub0-negN/A
neg-lowering-neg.f6499.6%
Applied egg-rr99.6%
Final simplification99.6%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x x)))
(t_1 (* x t_0))
(t_2 (* x (* x t_1)))
(t_3 (* (* x x) t_2)))
(/
10.0
(/
(/
(* (/ 1.0 (+ 1.0 (* x x))) (- 1.0 (* t_0 (* t_0 (* t_2 (* t_1 t_3))))))
(+ 1.0 (* t_3 (+ 1.0 t_3))))
(+ 1.0 t_1)))))
double code(double x) {
double t_0 = x * (x * x);
double t_1 = x * t_0;
double t_2 = x * (x * t_1);
double t_3 = (x * x) * t_2;
return 10.0 / ((((1.0 / (1.0 + (x * x))) * (1.0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3)))))) / (1.0 + (t_3 * (1.0 + t_3)))) / (1.0 + t_1));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
t_0 = x * (x * x)
t_1 = x * t_0
t_2 = x * (x * t_1)
t_3 = (x * x) * t_2
code = 10.0d0 / ((((1.0d0 / (1.0d0 + (x * x))) * (1.0d0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3)))))) / (1.0d0 + (t_3 * (1.0d0 + t_3)))) / (1.0d0 + t_1))
end function
public static double code(double x) {
double t_0 = x * (x * x);
double t_1 = x * t_0;
double t_2 = x * (x * t_1);
double t_3 = (x * x) * t_2;
return 10.0 / ((((1.0 / (1.0 + (x * x))) * (1.0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3)))))) / (1.0 + (t_3 * (1.0 + t_3)))) / (1.0 + t_1));
}
def code(x): t_0 = x * (x * x) t_1 = x * t_0 t_2 = x * (x * t_1) t_3 = (x * x) * t_2 return 10.0 / ((((1.0 / (1.0 + (x * x))) * (1.0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3)))))) / (1.0 + (t_3 * (1.0 + t_3)))) / (1.0 + t_1))
function code(x) t_0 = Float64(x * Float64(x * x)) t_1 = Float64(x * t_0) t_2 = Float64(x * Float64(x * t_1)) t_3 = Float64(Float64(x * x) * t_2) return Float64(10.0 / Float64(Float64(Float64(Float64(1.0 / Float64(1.0 + Float64(x * x))) * Float64(1.0 - Float64(t_0 * Float64(t_0 * Float64(t_2 * Float64(t_1 * t_3)))))) / Float64(1.0 + Float64(t_3 * Float64(1.0 + t_3)))) / Float64(1.0 + t_1))) end
function tmp = code(x) t_0 = x * (x * x); t_1 = x * t_0; t_2 = x * (x * t_1); t_3 = (x * x) * t_2; tmp = 10.0 / ((((1.0 / (1.0 + (x * x))) * (1.0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3)))))) / (1.0 + (t_3 * (1.0 + t_3)))) / (1.0 + t_1)); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(x * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(x * N[(x * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(x * x), $MachinePrecision] * t$95$2), $MachinePrecision]}, N[(10.0 / N[(N[(N[(N[(1.0 / N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(t$95$0 * N[(t$95$0 * N[(t$95$2 * N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$3 * N[(1.0 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot x\right)\\
t_1 := x \cdot t\_0\\
t_2 := x \cdot \left(x \cdot t\_1\right)\\
t_3 := \left(x \cdot x\right) \cdot t\_2\\
\frac{10}{\frac{\frac{\frac{1}{1 + x \cdot x} \cdot \left(1 - t\_0 \cdot \left(t\_0 \cdot \left(t\_2 \cdot \left(t\_1 \cdot t\_3\right)\right)\right)\right)}{1 + t\_3 \cdot \left(1 + t\_3\right)}}{1 + t\_1}}
\end{array}
\end{array}
Initial program 87.4%
Applied egg-rr88.0%
flip-+N/A
metadata-evalN/A
associate-*r*N/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f6487.7%
Applied egg-rr87.7%
Applied egg-rr87.0%
Applied egg-rr88.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (* x (* x x)))
(t_1 (* x t_0))
(t_2 (* x (* x t_1)))
(t_3 (* (* x x) t_2)))
(/
10.0
(/
(*
(- 1.0 (* t_0 (* t_0 (* t_2 (* t_1 t_3)))))
(/ 1.0 (* (+ 1.0 (* x x)) (+ 1.0 t_1))))
(+ 1.0 (* t_3 (+ 1.0 t_3)))))))
double code(double x) {
double t_0 = x * (x * x);
double t_1 = x * t_0;
double t_2 = x * (x * t_1);
double t_3 = (x * x) * t_2;
return 10.0 / (((1.0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3))))) * (1.0 / ((1.0 + (x * x)) * (1.0 + t_1)))) / (1.0 + (t_3 * (1.0 + t_3))));
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: t_1
real(8) :: t_2
real(8) :: t_3
t_0 = x * (x * x)
t_1 = x * t_0
t_2 = x * (x * t_1)
t_3 = (x * x) * t_2
code = 10.0d0 / (((1.0d0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3))))) * (1.0d0 / ((1.0d0 + (x * x)) * (1.0d0 + t_1)))) / (1.0d0 + (t_3 * (1.0d0 + t_3))))
end function
public static double code(double x) {
double t_0 = x * (x * x);
double t_1 = x * t_0;
double t_2 = x * (x * t_1);
double t_3 = (x * x) * t_2;
return 10.0 / (((1.0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3))))) * (1.0 / ((1.0 + (x * x)) * (1.0 + t_1)))) / (1.0 + (t_3 * (1.0 + t_3))));
}
def code(x): t_0 = x * (x * x) t_1 = x * t_0 t_2 = x * (x * t_1) t_3 = (x * x) * t_2 return 10.0 / (((1.0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3))))) * (1.0 / ((1.0 + (x * x)) * (1.0 + t_1)))) / (1.0 + (t_3 * (1.0 + t_3))))
function code(x) t_0 = Float64(x * Float64(x * x)) t_1 = Float64(x * t_0) t_2 = Float64(x * Float64(x * t_1)) t_3 = Float64(Float64(x * x) * t_2) return Float64(10.0 / Float64(Float64(Float64(1.0 - Float64(t_0 * Float64(t_0 * Float64(t_2 * Float64(t_1 * t_3))))) * Float64(1.0 / Float64(Float64(1.0 + Float64(x * x)) * Float64(1.0 + t_1)))) / Float64(1.0 + Float64(t_3 * Float64(1.0 + t_3))))) end
function tmp = code(x) t_0 = x * (x * x); t_1 = x * t_0; t_2 = x * (x * t_1); t_3 = (x * x) * t_2; tmp = 10.0 / (((1.0 - (t_0 * (t_0 * (t_2 * (t_1 * t_3))))) * (1.0 / ((1.0 + (x * x)) * (1.0 + t_1)))) / (1.0 + (t_3 * (1.0 + t_3)))); end
code[x_] := Block[{t$95$0 = N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$1 = N[(x * t$95$0), $MachinePrecision]}, Block[{t$95$2 = N[(x * N[(x * t$95$1), $MachinePrecision]), $MachinePrecision]}, Block[{t$95$3 = N[(N[(x * x), $MachinePrecision] * t$95$2), $MachinePrecision]}, N[(10.0 / N[(N[(N[(1.0 - N[(t$95$0 * N[(t$95$0 * N[(t$95$2 * N[(t$95$1 * t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] * N[(1.0 + t$95$1), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(t$95$3 * N[(1.0 + t$95$3), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]]]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := x \cdot \left(x \cdot x\right)\\
t_1 := x \cdot t\_0\\
t_2 := x \cdot \left(x \cdot t\_1\right)\\
t_3 := \left(x \cdot x\right) \cdot t\_2\\
\frac{10}{\frac{\left(1 - t\_0 \cdot \left(t\_0 \cdot \left(t\_2 \cdot \left(t\_1 \cdot t\_3\right)\right)\right)\right) \cdot \frac{1}{\left(1 + x \cdot x\right) \cdot \left(1 + t\_1\right)}}{1 + t\_3 \cdot \left(1 + t\_3\right)}}
\end{array}
\end{array}
Initial program 87.4%
Applied egg-rr88.0%
flip-+N/A
metadata-evalN/A
associate-*r*N/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f6487.7%
Applied egg-rr87.7%
Applied egg-rr87.0%
Applied egg-rr88.7%
(FPCore (x)
:precision binary64
(/
10.0
(/
1.0
(/
(+ 1.0 (* x (* x (+ 1.0 (* x x)))))
(- 1.0 (* x (* x (* x (* x (* x x))))))))))
double code(double x) {
return 10.0 / (1.0 / ((1.0 + (x * (x * (1.0 + (x * x))))) / (1.0 - (x * (x * (x * (x * (x * x))))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0 / (1.0d0 / ((1.0d0 + (x * (x * (1.0d0 + (x * x))))) / (1.0d0 - (x * (x * (x * (x * (x * x))))))))
end function
public static double code(double x) {
return 10.0 / (1.0 / ((1.0 + (x * (x * (1.0 + (x * x))))) / (1.0 - (x * (x * (x * (x * (x * x))))))));
}
def code(x): return 10.0 / (1.0 / ((1.0 + (x * (x * (1.0 + (x * x))))) / (1.0 - (x * (x * (x * (x * (x * x))))))))
function code(x) return Float64(10.0 / Float64(1.0 / Float64(Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(x * x))))) / Float64(1.0 - Float64(x * Float64(x * Float64(x * Float64(x * Float64(x * x))))))))) end
function tmp = code(x) tmp = 10.0 / (1.0 / ((1.0 + (x * (x * (1.0 + (x * x))))) / (1.0 - (x * (x * (x * (x * (x * x)))))))); end
code[x_] := N[(10.0 / N[(1.0 / N[(N[(1.0 + N[(x * N[(x * N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 - N[(x * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{\frac{1}{\frac{1 + x \cdot \left(x \cdot \left(1 + x \cdot x\right)\right)}{1 - x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)}}}
\end{array}
Initial program 87.4%
Applied egg-rr88.0%
flip-+N/A
metadata-evalN/A
associate-*r*N/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f6487.7%
Applied egg-rr87.7%
Applied egg-rr87.0%
Applied egg-rr88.6%
(FPCore (x) :precision binary64 (/ 10.0 (* (- 1.0 (* x (* x (* x (* x (* x x)))))) (/ 1.0 (+ 1.0 (* x (* x (+ 1.0 (* x x)))))))))
double code(double x) {
return 10.0 / ((1.0 - (x * (x * (x * (x * (x * x)))))) * (1.0 / (1.0 + (x * (x * (1.0 + (x * x)))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0 / ((1.0d0 - (x * (x * (x * (x * (x * x)))))) * (1.0d0 / (1.0d0 + (x * (x * (1.0d0 + (x * x)))))))
end function
public static double code(double x) {
return 10.0 / ((1.0 - (x * (x * (x * (x * (x * x)))))) * (1.0 / (1.0 + (x * (x * (1.0 + (x * x)))))));
}
def code(x): return 10.0 / ((1.0 - (x * (x * (x * (x * (x * x)))))) * (1.0 / (1.0 + (x * (x * (1.0 + (x * x)))))))
function code(x) return Float64(10.0 / Float64(Float64(1.0 - Float64(x * Float64(x * Float64(x * Float64(x * Float64(x * x)))))) * Float64(1.0 / Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(x * x)))))))) end
function tmp = code(x) tmp = 10.0 / ((1.0 - (x * (x * (x * (x * (x * x)))))) * (1.0 / (1.0 + (x * (x * (1.0 + (x * x))))))); end
code[x_] := N[(10.0 / N[(N[(1.0 - N[(x * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(1.0 + N[(x * N[(x * N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{\left(1 - x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)\right) \cdot \frac{1}{1 + x \cdot \left(x \cdot \left(1 + x \cdot x\right)\right)}}
\end{array}
Initial program 87.4%
Applied egg-rr88.0%
flip-+N/A
metadata-evalN/A
associate-*r*N/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f6487.7%
Applied egg-rr87.7%
Applied egg-rr87.0%
Applied egg-rr88.6%
(FPCore (x) :precision binary64 (/ 10.0 (/ (- 1.0 (* x (* x (* x (* x (* x x)))))) (+ 1.0 (* x (* x (+ 1.0 (* x x))))))))
double code(double x) {
return 10.0 / ((1.0 - (x * (x * (x * (x * (x * x)))))) / (1.0 + (x * (x * (1.0 + (x * x))))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0 / ((1.0d0 - (x * (x * (x * (x * (x * x)))))) / (1.0d0 + (x * (x * (1.0d0 + (x * x))))))
end function
public static double code(double x) {
return 10.0 / ((1.0 - (x * (x * (x * (x * (x * x)))))) / (1.0 + (x * (x * (1.0 + (x * x))))));
}
def code(x): return 10.0 / ((1.0 - (x * (x * (x * (x * (x * x)))))) / (1.0 + (x * (x * (1.0 + (x * x))))))
function code(x) return Float64(10.0 / Float64(Float64(1.0 - Float64(x * Float64(x * Float64(x * Float64(x * Float64(x * x)))))) / Float64(1.0 + Float64(x * Float64(x * Float64(1.0 + Float64(x * x))))))) end
function tmp = code(x) tmp = 10.0 / ((1.0 - (x * (x * (x * (x * (x * x)))))) / (1.0 + (x * (x * (1.0 + (x * x)))))); end
code[x_] := N[(10.0 / N[(N[(1.0 - N[(x * N[(x * N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(x * N[(x * N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{\frac{1 - x \cdot \left(x \cdot \left(x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)\right)}{1 + x \cdot \left(x \cdot \left(1 + x \cdot x\right)\right)}}
\end{array}
Initial program 87.4%
Applied egg-rr88.0%
flip-+N/A
metadata-evalN/A
associate-*r*N/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f6487.7%
Applied egg-rr87.7%
Applied egg-rr87.0%
Applied egg-rr88.6%
(FPCore (x) :precision binary64 (/ 10.0 (* (/ 1.0 (+ 1.0 (* x x))) (- 1.0 (* x (* x (* x x)))))))
double code(double x) {
return 10.0 / ((1.0 / (1.0 + (x * x))) * (1.0 - (x * (x * (x * x)))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0 / ((1.0d0 / (1.0d0 + (x * x))) * (1.0d0 - (x * (x * (x * x)))))
end function
public static double code(double x) {
return 10.0 / ((1.0 / (1.0 + (x * x))) * (1.0 - (x * (x * (x * x)))));
}
def code(x): return 10.0 / ((1.0 / (1.0 + (x * x))) * (1.0 - (x * (x * (x * x)))))
function code(x) return Float64(10.0 / Float64(Float64(1.0 / Float64(1.0 + Float64(x * x))) * Float64(1.0 - Float64(x * Float64(x * Float64(x * x)))))) end
function tmp = code(x) tmp = 10.0 / ((1.0 / (1.0 + (x * x))) * (1.0 - (x * (x * (x * x))))); end
code[x_] := N[(10.0 / N[(N[(1.0 / N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] * N[(1.0 - N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{\frac{1}{1 + x \cdot x} \cdot \left(1 - x \cdot \left(x \cdot \left(x \cdot x\right)\right)\right)}
\end{array}
Initial program 87.4%
Applied egg-rr88.0%
flip-+N/A
metadata-evalN/A
associate-*r*N/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f6487.7%
Applied egg-rr87.7%
Applied egg-rr87.0%
*-commutativeN/A
associate-/l*N/A
Applied egg-rr88.3%
(FPCore (x) :precision binary64 (* (/ 10.0 (+ (* x (* x (* x x))) -1.0)) (- -1.0 (* x x))))
double code(double x) {
return (10.0 / ((x * (x * (x * x))) + -1.0)) * (-1.0 - (x * x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (10.0d0 / ((x * (x * (x * x))) + (-1.0d0))) * ((-1.0d0) - (x * x))
end function
public static double code(double x) {
return (10.0 / ((x * (x * (x * x))) + -1.0)) * (-1.0 - (x * x));
}
def code(x): return (10.0 / ((x * (x * (x * x))) + -1.0)) * (-1.0 - (x * x))
function code(x) return Float64(Float64(10.0 / Float64(Float64(x * Float64(x * Float64(x * x))) + -1.0)) * Float64(-1.0 - Float64(x * x))) end
function tmp = code(x) tmp = (10.0 / ((x * (x * (x * x))) + -1.0)) * (-1.0 - (x * x)); end
code[x_] := N[(N[(10.0 / N[(N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -1.0), $MachinePrecision]), $MachinePrecision] * N[(-1.0 - N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{x \cdot \left(x \cdot \left(x \cdot x\right)\right) + -1} \cdot \left(-1 - x \cdot x\right)
\end{array}
Initial program 87.4%
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
fma-defineN/A
fma-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f6499.6%
Applied egg-rr99.6%
sub0-negN/A
neg-lowering-neg.f6499.6%
Applied egg-rr99.6%
Applied egg-rr88.3%
Final simplification88.3%
(FPCore (x) :precision binary64 (/ 10.0 (/ (- 1.0 (* x (* x (* x x)))) (+ 1.0 (* x x)))))
double code(double x) {
return 10.0 / ((1.0 - (x * (x * (x * x)))) / (1.0 + (x * x)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0 / ((1.0d0 - (x * (x * (x * x)))) / (1.0d0 + (x * x)))
end function
public static double code(double x) {
return 10.0 / ((1.0 - (x * (x * (x * x)))) / (1.0 + (x * x)));
}
def code(x): return 10.0 / ((1.0 - (x * (x * (x * x)))) / (1.0 + (x * x)))
function code(x) return Float64(10.0 / Float64(Float64(1.0 - Float64(x * Float64(x * Float64(x * x)))) / Float64(1.0 + Float64(x * x)))) end
function tmp = code(x) tmp = 10.0 / ((1.0 - (x * (x * (x * x)))) / (1.0 + (x * x))); end
code[x_] := N[(10.0 / N[(N[(1.0 - N[(x * N[(x * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] / N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{\frac{1 - x \cdot \left(x \cdot \left(x \cdot x\right)\right)}{1 + x \cdot x}}
\end{array}
Initial program 87.4%
Applied egg-rr88.0%
flip-+N/A
metadata-evalN/A
associate-*r*N/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
--lowering--.f64N/A
*-lowering-*.f6487.7%
Applied egg-rr87.7%
Applied egg-rr87.0%
Applied egg-rr88.3%
(FPCore (x) :precision binary64 (* (+ 1.0 (* x x)) (/ 10.0 (- 1.0 (* (* x x) (* x x))))))
double code(double x) {
return (1.0 + (x * x)) * (10.0 / (1.0 - ((x * x) * (x * x))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = (1.0d0 + (x * x)) * (10.0d0 / (1.0d0 - ((x * x) * (x * x))))
end function
public static double code(double x) {
return (1.0 + (x * x)) * (10.0 / (1.0 - ((x * x) * (x * x))));
}
def code(x): return (1.0 + (x * x)) * (10.0 / (1.0 - ((x * x) * (x * x))))
function code(x) return Float64(Float64(1.0 + Float64(x * x)) * Float64(10.0 / Float64(1.0 - Float64(Float64(x * x) * Float64(x * x))))) end
function tmp = code(x) tmp = (1.0 + (x * x)) * (10.0 / (1.0 - ((x * x) * (x * x)))); end
code[x_] := N[(N[(1.0 + N[(x * x), $MachinePrecision]), $MachinePrecision] * N[(10.0 / N[(1.0 - N[(N[(x * x), $MachinePrecision] * N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\left(1 + x \cdot x\right) \cdot \frac{10}{1 - \left(x \cdot x\right) \cdot \left(x \cdot x\right)}
\end{array}
Initial program 87.4%
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
fma-defineN/A
fma-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f6499.6%
Applied egg-rr99.6%
+-commutativeN/A
sub0-negN/A
cancel-sign-sub-invN/A
flip--N/A
metadata-evalN/A
associate-*r*N/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
--lowering--.f64N/A
associate-*r*N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f6487.5%
Applied egg-rr87.5%
Final simplification87.5%
(FPCore (x) :precision binary64 (if (<= (* x x) 1.0) 10.0 (/ -10.0 (* x x))))
double code(double x) {
double tmp;
if ((x * x) <= 1.0) {
tmp = 10.0;
} else {
tmp = -10.0 / (x * x);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: tmp
if ((x * x) <= 1.0d0) then
tmp = 10.0d0
else
tmp = (-10.0d0) / (x * x)
end if
code = tmp
end function
public static double code(double x) {
double tmp;
if ((x * x) <= 1.0) {
tmp = 10.0;
} else {
tmp = -10.0 / (x * x);
}
return tmp;
}
def code(x): tmp = 0 if (x * x) <= 1.0: tmp = 10.0 else: tmp = -10.0 / (x * x) return tmp
function code(x) tmp = 0.0 if (Float64(x * x) <= 1.0) tmp = 10.0; else tmp = Float64(-10.0 / Float64(x * x)); end return tmp end
function tmp_2 = code(x) tmp = 0.0; if ((x * x) <= 1.0) tmp = 10.0; else tmp = -10.0 / (x * x); end tmp_2 = tmp; end
code[x_] := If[LessEqual[N[(x * x), $MachinePrecision], 1.0], 10.0, N[(-10.0 / N[(x * x), $MachinePrecision]), $MachinePrecision]]
\begin{array}{l}
\\
\begin{array}{l}
\mathbf{if}\;x \cdot x \leq 1:\\
\;\;\;\;10\\
\mathbf{else}:\\
\;\;\;\;\frac{-10}{x \cdot x}\\
\end{array}
\end{array}
if (*.f64 x x) < 1Initial program 87.6%
Taylor expanded in x around 0
Simplified13.5%
if 1 < (*.f64 x x) Initial program 86.9%
Taylor expanded in x around inf
/-lowering-/.f64N/A
unpow2N/A
*-lowering-*.f6413.5%
Simplified13.5%
(FPCore (x) :precision binary64 (/ 1.0 (/ (- 1.0 (* x x)) 10.0)))
double code(double x) {
return 1.0 / ((1.0 - (x * x)) / 10.0);
}
real(8) function code(x)
real(8), intent (in) :: x
code = 1.0d0 / ((1.0d0 - (x * x)) / 10.0d0)
end function
public static double code(double x) {
return 1.0 / ((1.0 - (x * x)) / 10.0);
}
def code(x): return 1.0 / ((1.0 - (x * x)) / 10.0)
function code(x) return Float64(1.0 / Float64(Float64(1.0 - Float64(x * x)) / 10.0)) end
function tmp = code(x) tmp = 1.0 / ((1.0 - (x * x)) / 10.0); end
code[x_] := N[(1.0 / N[(N[(1.0 - N[(x * x), $MachinePrecision]), $MachinePrecision] / 10.0), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{1}{\frac{1 - x \cdot x}{10}}
\end{array}
Initial program 87.4%
sub-negN/A
+-commutativeN/A
distribute-lft-neg-inN/A
fma-defineN/A
fma-lowering-fma.f64N/A
neg-sub0N/A
--lowering--.f6499.6%
Applied egg-rr99.6%
+-commutativeN/A
sub0-negN/A
cancel-sign-sub-invN/A
flip--N/A
metadata-evalN/A
associate-*r*N/A
sub-divN/A
div-invN/A
div-invN/A
distribute-rgt-out--N/A
flip--N/A
metadata-evalN/A
unswap-sqrN/A
Applied egg-rr87.4%
(FPCore (x) :precision binary64 (/ 10.0 (- 1.0 (* x x))))
double code(double x) {
return 10.0 / (1.0 - (x * x));
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0 / (1.0d0 - (x * x))
end function
public static double code(double x) {
return 10.0 / (1.0 - (x * x));
}
def code(x): return 10.0 / (1.0 - (x * x))
function code(x) return Float64(10.0 / Float64(1.0 - Float64(x * x))) end
function tmp = code(x) tmp = 10.0 / (1.0 - (x * x)); end
code[x_] := N[(10.0 / N[(1.0 - N[(x * x), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{10}{1 - x \cdot x}
\end{array}
Initial program 87.4%
(FPCore (x) :precision binary64 10.0)
double code(double x) {
return 10.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 10.0d0
end function
public static double code(double x) {
return 10.0;
}
def code(x): return 10.0
function code(x) return 10.0 end
function tmp = code(x) tmp = 10.0; end
code[x_] := 10.0
\begin{array}{l}
\\
10
\end{array}
Initial program 87.4%
Taylor expanded in x around 0
Simplified9.6%
herbie shell --seed 2024156
(FPCore (x)
:name "ENA, Section 1.4, Mentioned, B"
:precision binary64
:pre (and (<= 0.999 x) (<= x 1.001))
(/ 10.0 (- 1.0 (* x x))))