
(FPCore (x) :precision binary64 (/ x (+ 1.0 (sqrt (+ x 1.0)))))
double code(double x) {
return x / (1.0 + sqrt((x + 1.0)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (1.0d0 + sqrt((x + 1.0d0)))
end function
public static double code(double x) {
return x / (1.0 + Math.sqrt((x + 1.0)));
}
def code(x): return x / (1.0 + math.sqrt((x + 1.0)))
function code(x) return Float64(x / Float64(1.0 + sqrt(Float64(x + 1.0)))) end
function tmp = code(x) tmp = x / (1.0 + sqrt((x + 1.0))); end
code[x_] := N[(x / N[(1.0 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{1 + \sqrt{x + 1}}
\end{array}
Sampling outcomes in binary64 precision:
Herbie found 10 alternatives:
| Alternative | Accuracy | Speedup |
|---|
(FPCore (x) :precision binary64 (/ x (+ 1.0 (sqrt (+ x 1.0)))))
double code(double x) {
return x / (1.0 + sqrt((x + 1.0)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (1.0d0 + sqrt((x + 1.0d0)))
end function
public static double code(double x) {
return x / (1.0 + Math.sqrt((x + 1.0)));
}
def code(x): return x / (1.0 + math.sqrt((x + 1.0)))
function code(x) return Float64(x / Float64(1.0 + sqrt(Float64(x + 1.0)))) end
function tmp = code(x) tmp = x / (1.0 + sqrt((x + 1.0))); end
code[x_] := N[(x / N[(1.0 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{1 + \sqrt{x + 1}}
\end{array}
(FPCore (x) :precision binary64 (/ x (+ 1.0 (pow (/ 1.0 (+ x 1.0)) -0.5))))
double code(double x) {
return x / (1.0 + pow((1.0 / (x + 1.0)), -0.5));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (1.0d0 + ((1.0d0 / (x + 1.0d0)) ** (-0.5d0)))
end function
public static double code(double x) {
return x / (1.0 + Math.pow((1.0 / (x + 1.0)), -0.5));
}
def code(x): return x / (1.0 + math.pow((1.0 / (x + 1.0)), -0.5))
function code(x) return Float64(x / Float64(1.0 + (Float64(1.0 / Float64(x + 1.0)) ^ -0.5))) end
function tmp = code(x) tmp = x / (1.0 + ((1.0 / (x + 1.0)) ^ -0.5)); end
code[x_] := N[(x / N[(1.0 + N[Power[N[(1.0 / N[(x + 1.0), $MachinePrecision]), $MachinePrecision], -0.5], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{1 + {\left(\frac{1}{x + 1}\right)}^{-0.5}}
\end{array}
Initial program 99.7%
flip-+N/A
clear-numN/A
sqrt-divN/A
metadata-evalN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
clear-numN/A
flip-+N/A
/-lowering-/.f64N/A
+-lowering-+.f6499.8%
Applied egg-rr99.8%
inv-powN/A
sqrt-pow2N/A
metadata-evalN/A
metadata-evalN/A
pow-lowering-pow.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
metadata-eval99.8%
Applied egg-rr99.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.5 (* x (+ -0.125 (* x 0.0625))))))
(if (<= x 0.00175)
(*
(/ x (+ (* x (* t_0 (* x t_0))) -4.0))
(/ 1.0 (+ -0.5 (* x (+ -0.125 (* (* x x) -0.0078125))))))
(+ (pow (+ x 1.0) 0.5) -1.0))))
double code(double x) {
double t_0 = 0.5 + (x * (-0.125 + (x * 0.0625)));
double tmp;
if (x <= 0.00175) {
tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125)))));
} else {
tmp = pow((x + 1.0), 0.5) + -1.0;
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = 0.5d0 + (x * ((-0.125d0) + (x * 0.0625d0)))
if (x <= 0.00175d0) then
tmp = (x / ((x * (t_0 * (x * t_0))) + (-4.0d0))) * (1.0d0 / ((-0.5d0) + (x * ((-0.125d0) + ((x * x) * (-0.0078125d0))))))
else
tmp = ((x + 1.0d0) ** 0.5d0) + (-1.0d0)
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 0.5 + (x * (-0.125 + (x * 0.0625)));
double tmp;
if (x <= 0.00175) {
tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125)))));
} else {
tmp = Math.pow((x + 1.0), 0.5) + -1.0;
}
return tmp;
}
def code(x): t_0 = 0.5 + (x * (-0.125 + (x * 0.0625))) tmp = 0 if x <= 0.00175: tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125))))) else: tmp = math.pow((x + 1.0), 0.5) + -1.0 return tmp
function code(x) t_0 = Float64(0.5 + Float64(x * Float64(-0.125 + Float64(x * 0.0625)))) tmp = 0.0 if (x <= 0.00175) tmp = Float64(Float64(x / Float64(Float64(x * Float64(t_0 * Float64(x * t_0))) + -4.0)) * Float64(1.0 / Float64(-0.5 + Float64(x * Float64(-0.125 + Float64(Float64(x * x) * -0.0078125)))))); else tmp = Float64((Float64(x + 1.0) ^ 0.5) + -1.0); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 + (x * (-0.125 + (x * 0.0625))); tmp = 0.0; if (x <= 0.00175) tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125))))); else tmp = ((x + 1.0) ^ 0.5) + -1.0; end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(0.5 + N[(x * N[(-0.125 + N[(x * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 0.00175], N[(N[(x / N[(N[(x * N[(t$95$0 * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -4.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(-0.5 + N[(x * N[(-0.125 + N[(N[(x * x), $MachinePrecision] * -0.0078125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Power[N[(x + 1.0), $MachinePrecision], 0.5], $MachinePrecision] + -1.0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + x \cdot \left(-0.125 + x \cdot 0.0625\right)\\
\mathbf{if}\;x \leq 0.00175:\\
\;\;\;\;\frac{x}{x \cdot \left(t\_0 \cdot \left(x \cdot t\_0\right)\right) + -4} \cdot \frac{1}{-0.5 + x \cdot \left(-0.125 + \left(x \cdot x\right) \cdot -0.0078125\right)}\\
\mathbf{else}:\\
\;\;\;\;{\left(x + 1\right)}^{0.5} + -1\\
\end{array}
\end{array}
if x < 0.00175000000000000004Initial program 100.0%
Taylor expanded in x around 0
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6499.7%
Simplified99.7%
*-rgt-identityN/A
flip-+N/A
div-invN/A
times-fracN/A
*-lowering-*.f64N/A
Applied egg-rr99.7%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r*N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.7%
Simplified99.7%
if 0.00175000000000000004 < x Initial program 99.2%
frac-2negN/A
neg-sub0N/A
metadata-evalN/A
associate--r+N/A
metadata-evalN/A
+-commutativeN/A
rem-square-sqrtN/A
distribute-neg-frac2N/A
flip--N/A
neg-lowering-neg.f64N/A
--lowering--.f64N/A
pow1/2N/A
pow-lowering-pow.f64N/A
+-lowering-+.f6499.8%
Applied egg-rr99.8%
Final simplification99.7%
(FPCore (x) :precision binary64 (* x (/ 1.0 (+ 1.0 (sqrt (+ x 1.0))))))
double code(double x) {
return x * (1.0 / (1.0 + sqrt((x + 1.0))));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 / (1.0d0 + sqrt((x + 1.0d0))))
end function
public static double code(double x) {
return x * (1.0 / (1.0 + Math.sqrt((x + 1.0))));
}
def code(x): return x * (1.0 / (1.0 + math.sqrt((x + 1.0))))
function code(x) return Float64(x * Float64(1.0 / Float64(1.0 + sqrt(Float64(x + 1.0))))) end
function tmp = code(x) tmp = x * (1.0 / (1.0 + sqrt((x + 1.0)))); end
code[x_] := N[(x * N[(1.0 / N[(1.0 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \frac{1}{1 + \sqrt{x + 1}}
\end{array}
Initial program 99.7%
flip-+N/A
clear-numN/A
sqrt-divN/A
metadata-evalN/A
/-lowering-/.f64N/A
sqrt-lowering-sqrt.f64N/A
clear-numN/A
flip-+N/A
/-lowering-/.f64N/A
+-lowering-+.f6499.8%
Applied egg-rr99.8%
clear-numN/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-lowering-+.f64N/A
sqrt-divN/A
metadata-evalN/A
remove-double-divN/A
sqrt-lowering-sqrt.f64N/A
+-lowering-+.f6499.8%
Applied egg-rr99.8%
Final simplification99.8%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.5 (* x (+ -0.125 (* x 0.0625))))))
(if (<= x 2.45)
(*
(/ x (+ (* x (* t_0 (* x t_0))) -4.0))
(/ 1.0 (+ -0.5 (* x (+ -0.125 (* (* x x) -0.0078125))))))
(+ (sqrt x) -1.0))))
double code(double x) {
double t_0 = 0.5 + (x * (-0.125 + (x * 0.0625)));
double tmp;
if (x <= 2.45) {
tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125)))));
} else {
tmp = sqrt(x) + -1.0;
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = 0.5d0 + (x * ((-0.125d0) + (x * 0.0625d0)))
if (x <= 2.45d0) then
tmp = (x / ((x * (t_0 * (x * t_0))) + (-4.0d0))) * (1.0d0 / ((-0.5d0) + (x * ((-0.125d0) + ((x * x) * (-0.0078125d0))))))
else
tmp = sqrt(x) + (-1.0d0)
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 0.5 + (x * (-0.125 + (x * 0.0625)));
double tmp;
if (x <= 2.45) {
tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125)))));
} else {
tmp = Math.sqrt(x) + -1.0;
}
return tmp;
}
def code(x): t_0 = 0.5 + (x * (-0.125 + (x * 0.0625))) tmp = 0 if x <= 2.45: tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125))))) else: tmp = math.sqrt(x) + -1.0 return tmp
function code(x) t_0 = Float64(0.5 + Float64(x * Float64(-0.125 + Float64(x * 0.0625)))) tmp = 0.0 if (x <= 2.45) tmp = Float64(Float64(x / Float64(Float64(x * Float64(t_0 * Float64(x * t_0))) + -4.0)) * Float64(1.0 / Float64(-0.5 + Float64(x * Float64(-0.125 + Float64(Float64(x * x) * -0.0078125)))))); else tmp = Float64(sqrt(x) + -1.0); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 + (x * (-0.125 + (x * 0.0625))); tmp = 0.0; if (x <= 2.45) tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125))))); else tmp = sqrt(x) + -1.0; end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(0.5 + N[(x * N[(-0.125 + N[(x * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 2.45], N[(N[(x / N[(N[(x * N[(t$95$0 * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -4.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(-0.5 + N[(x * N[(-0.125 + N[(N[(x * x), $MachinePrecision] * -0.0078125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[(N[Sqrt[x], $MachinePrecision] + -1.0), $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + x \cdot \left(-0.125 + x \cdot 0.0625\right)\\
\mathbf{if}\;x \leq 2.45:\\
\;\;\;\;\frac{x}{x \cdot \left(t\_0 \cdot \left(x \cdot t\_0\right)\right) + -4} \cdot \frac{1}{-0.5 + x \cdot \left(-0.125 + \left(x \cdot x\right) \cdot -0.0078125\right)}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x} + -1\\
\end{array}
\end{array}
if x < 2.4500000000000002Initial program 100.0%
Taylor expanded in x around 0
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6499.2%
Simplified99.2%
*-rgt-identityN/A
flip-+N/A
div-invN/A
times-fracN/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r*N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.3%
Simplified99.3%
if 2.4500000000000002 < x Initial program 99.3%
Taylor expanded in x around inf
sub-negN/A
metadata-evalN/A
+-lowering-+.f64N/A
sqrt-lowering-sqrt.f6499.4%
Simplified99.4%
(FPCore (x) :precision binary64 (/ x (+ 1.0 (sqrt (+ x 1.0)))))
double code(double x) {
return x / (1.0 + sqrt((x + 1.0)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (1.0d0 + sqrt((x + 1.0d0)))
end function
public static double code(double x) {
return x / (1.0 + Math.sqrt((x + 1.0)));
}
def code(x): return x / (1.0 + math.sqrt((x + 1.0)))
function code(x) return Float64(x / Float64(1.0 + sqrt(Float64(x + 1.0)))) end
function tmp = code(x) tmp = x / (1.0 + sqrt((x + 1.0))); end
code[x_] := N[(x / N[(1.0 + N[Sqrt[N[(x + 1.0), $MachinePrecision]], $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{1 + \sqrt{x + 1}}
\end{array}
Initial program 99.7%
(FPCore (x)
:precision binary64
(let* ((t_0 (+ 0.5 (* x (+ -0.125 (* x 0.0625))))))
(if (<= x 2.6)
(*
(/ x (+ (* x (* t_0 (* x t_0))) -4.0))
(/ 1.0 (+ -0.5 (* x (+ -0.125 (* (* x x) -0.0078125))))))
(sqrt x))))
double code(double x) {
double t_0 = 0.5 + (x * (-0.125 + (x * 0.0625)));
double tmp;
if (x <= 2.6) {
tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125)))));
} else {
tmp = sqrt(x);
}
return tmp;
}
real(8) function code(x)
real(8), intent (in) :: x
real(8) :: t_0
real(8) :: tmp
t_0 = 0.5d0 + (x * ((-0.125d0) + (x * 0.0625d0)))
if (x <= 2.6d0) then
tmp = (x / ((x * (t_0 * (x * t_0))) + (-4.0d0))) * (1.0d0 / ((-0.5d0) + (x * ((-0.125d0) + ((x * x) * (-0.0078125d0))))))
else
tmp = sqrt(x)
end if
code = tmp
end function
public static double code(double x) {
double t_0 = 0.5 + (x * (-0.125 + (x * 0.0625)));
double tmp;
if (x <= 2.6) {
tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125)))));
} else {
tmp = Math.sqrt(x);
}
return tmp;
}
def code(x): t_0 = 0.5 + (x * (-0.125 + (x * 0.0625))) tmp = 0 if x <= 2.6: tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125))))) else: tmp = math.sqrt(x) return tmp
function code(x) t_0 = Float64(0.5 + Float64(x * Float64(-0.125 + Float64(x * 0.0625)))) tmp = 0.0 if (x <= 2.6) tmp = Float64(Float64(x / Float64(Float64(x * Float64(t_0 * Float64(x * t_0))) + -4.0)) * Float64(1.0 / Float64(-0.5 + Float64(x * Float64(-0.125 + Float64(Float64(x * x) * -0.0078125)))))); else tmp = sqrt(x); end return tmp end
function tmp_2 = code(x) t_0 = 0.5 + (x * (-0.125 + (x * 0.0625))); tmp = 0.0; if (x <= 2.6) tmp = (x / ((x * (t_0 * (x * t_0))) + -4.0)) * (1.0 / (-0.5 + (x * (-0.125 + ((x * x) * -0.0078125))))); else tmp = sqrt(x); end tmp_2 = tmp; end
code[x_] := Block[{t$95$0 = N[(0.5 + N[(x * N[(-0.125 + N[(x * 0.0625), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]}, If[LessEqual[x, 2.6], N[(N[(x / N[(N[(x * N[(t$95$0 * N[(x * t$95$0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision] + -4.0), $MachinePrecision]), $MachinePrecision] * N[(1.0 / N[(-0.5 + N[(x * N[(-0.125 + N[(N[(x * x), $MachinePrecision] * -0.0078125), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision], N[Sqrt[x], $MachinePrecision]]]
\begin{array}{l}
\\
\begin{array}{l}
t_0 := 0.5 + x \cdot \left(-0.125 + x \cdot 0.0625\right)\\
\mathbf{if}\;x \leq 2.6:\\
\;\;\;\;\frac{x}{x \cdot \left(t\_0 \cdot \left(x \cdot t\_0\right)\right) + -4} \cdot \frac{1}{-0.5 + x \cdot \left(-0.125 + \left(x \cdot x\right) \cdot -0.0078125\right)}\\
\mathbf{else}:\\
\;\;\;\;\sqrt{x}\\
\end{array}
\end{array}
if x < 2.60000000000000009Initial program 100.0%
Taylor expanded in x around 0
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
*-lowering-*.f6499.2%
Simplified99.2%
*-rgt-identityN/A
flip-+N/A
div-invN/A
times-fracN/A
*-lowering-*.f64N/A
Applied egg-rr99.2%
Taylor expanded in x around 0
sub-negN/A
metadata-evalN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f64N/A
sub-negN/A
*-commutativeN/A
metadata-evalN/A
unpow2N/A
associate-*r*N/A
*-commutativeN/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
associate-*r*N/A
unpow2N/A
*-lowering-*.f64N/A
unpow2N/A
*-lowering-*.f6499.3%
Simplified99.3%
if 2.60000000000000009 < x Initial program 99.3%
Taylor expanded in x around inf
sqrt-lowering-sqrt.f6497.8%
Simplified97.8%
(FPCore (x) :precision binary64 (* x (/ 1.0 (+ 2.0 (/ x 2.0)))))
double code(double x) {
return x * (1.0 / (2.0 + (x / 2.0)));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x * (1.0d0 / (2.0d0 + (x / 2.0d0)))
end function
public static double code(double x) {
return x * (1.0 / (2.0 + (x / 2.0)));
}
def code(x): return x * (1.0 / (2.0 + (x / 2.0)))
function code(x) return Float64(x * Float64(1.0 / Float64(2.0 + Float64(x / 2.0)))) end
function tmp = code(x) tmp = x * (1.0 / (2.0 + (x / 2.0))); end
code[x_] := N[(x * N[(1.0 / N[(2.0 + N[(x / 2.0), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
x \cdot \frac{1}{2 + \frac{x}{2}}
\end{array}
Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f6468.8%
Simplified68.8%
clear-numN/A
associate-/r/N/A
*-lowering-*.f64N/A
/-lowering-/.f64N/A
+-commutativeN/A
+-lowering-+.f64N/A
*-commutativeN/A
metadata-evalN/A
div-invN/A
/-lowering-/.f6468.8%
Applied egg-rr68.8%
Final simplification68.8%
(FPCore (x) :precision binary64 (/ x (+ 2.0 (* x 0.5))))
double code(double x) {
return x / (2.0 + (x * 0.5));
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / (2.0d0 + (x * 0.5d0))
end function
public static double code(double x) {
return x / (2.0 + (x * 0.5));
}
def code(x): return x / (2.0 + (x * 0.5))
function code(x) return Float64(x / Float64(2.0 + Float64(x * 0.5))) end
function tmp = code(x) tmp = x / (2.0 + (x * 0.5)); end
code[x_] := N[(x / N[(2.0 + N[(x * 0.5), $MachinePrecision]), $MachinePrecision]), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{2 + x \cdot 0.5}
\end{array}
Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f6468.8%
Simplified68.8%
Final simplification68.8%
(FPCore (x) :precision binary64 (/ x 2.0))
double code(double x) {
return x / 2.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = x / 2.0d0
end function
public static double code(double x) {
return x / 2.0;
}
def code(x): return x / 2.0
function code(x) return Float64(x / 2.0) end
function tmp = code(x) tmp = x / 2.0; end
code[x_] := N[(x / 2.0), $MachinePrecision]
\begin{array}{l}
\\
\frac{x}{2}
\end{array}
Initial program 99.7%
Taylor expanded in x around 0
Simplified68.3%
(FPCore (x) :precision binary64 2.0)
double code(double x) {
return 2.0;
}
real(8) function code(x)
real(8), intent (in) :: x
code = 2.0d0
end function
public static double code(double x) {
return 2.0;
}
def code(x): return 2.0
function code(x) return 2.0 end
function tmp = code(x) tmp = 2.0; end
code[x_] := 2.0
\begin{array}{l}
\\
2
\end{array}
Initial program 99.7%
Taylor expanded in x around 0
+-commutativeN/A
+-lowering-+.f64N/A
*-lowering-*.f6468.8%
Simplified68.8%
Taylor expanded in x around inf
Simplified4.8%
herbie shell --seed 2024161
(FPCore (x)
:name "Numeric.Log:$clog1p from log-domain-0.10.2.1, B"
:precision binary64
(/ x (+ 1.0 (sqrt (+ x 1.0)))))